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1Z1-450 Oracle Application Express 3.2-(R) Developing Web Applications

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1Z1-450 exam Dumps Source : Oracle Application Express 3.2-(R) Developing Web Applications

Test Code : 1Z1-450
Test denomination : Oracle Application Express 3.2-(R) Developing Web Applications
Vendor denomination : Oracle
real questions : 49 real Questions

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Oracle Oracle Application Express 3.2-(R)

Oracle publicizes intimate Availability of Oracle utility categorical unlock three.2 | killexams.com real Questions and Pass4sure dumps

Mar four, 2009

Oracle has introduced widely wide-spread availability of the latest unlock of Oracle application express, a free, swiftly web utility construction device for Oracle Databases. liberate 3.2 of Oracle utility categorical introduces the Oracle varieties Conversion, a major unusual feature to assist builders transmogrify Oracle kinds-based purposes into HTML purposes operating within an Oracle Database. utility express release three.2 besides introduces many protection enhancements.

Oracle kinds Conversion automatically converts most consumer interface accessories and provides monitoring capabilities to devise for and display screen the manual implementation of company common sense publish-technology. once Oracle varieties source files are transformed into XML, they're loaded into an Oracle utility express conversion project. developers can then specify which person interface components to generate, annotate totality components, and yield an preliminary design.

changing Oracle kinds-primarily based purposes to Oracle application categorical permits developers to exploit Oracle software categorical's HTML templating capabilities, declarative gleam charting, and internet 2.0 style interactive reporting accessories; rob capabilities of Oracle software express's swift construction capabilities for brief amendment or enhancement of functions; and, prick developer re-practicing requirements as both Oracle application specific and Oracle varieties utilize SQL and PL/SQL.

software conversion is hardly ever an simple project, but with the unusual release, the conversion of Oracle varieties purposes to native HTML is simplified and structured. "it is difficult to transmogrify from one technology to a different, so they now fill simplified that with utility express 3.2 by pass of proposing an automated device that may automate portion of the project, and then advocate you on the manual conversion project," Mike Hichwa, vice president of utility development, Oracle, tells 5 Minute Briefing. according to Hichwa, changing from Oracle types is a venture the Place simplest one of the most existing performance will besides breathe automatically generated. consequently, he notes, a detailed monitoring gadget in utility categorical three.2 gives capabilities to advocate with mission management.

The different essential purpose with this liberate become to give capabilities to execute it more straightforward for builders and directors to harden the safety of their purposes and the construction atmosphere. With this unencumber of software categorical, Hichwa notes, Oracle has build massive endeavor into proposing key safety functionality out of the container. safety enhancements in 3.2 consist of declarative authentication timeouts by using session length and idle time; reduced privilege of Oracle software categorical schema; declarative session situation encryption; and, better documentation on how to execute the most of the safety features.

Oracle utility specific supports pre-built applications attainable for down load from the Oracle know-how network (OTN). These free, completely purposeful Oracle utility specific functions similar to Asset supervisor, consumer Tracker, and Timesheets, can besides breathe customized, deployed and shared within an organization enabling builders to jumpstart essential net utility building efforts. Oracle utility categorical is built-in with totality variations of Oracle Database 11g.

the unusual unlock is available for download from the Oracle know-how community.


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AI and ML newest news: NewRelic acquires startup SignifAI to carry 'applied intelligence' to DevOps | killexams.com real Questions and Pass4sure dumps

NewRelic, the cloud-based mostly utility analytics firm, has introduced desktop studying to its armoury within the shape of SignifAI, an Israeli-US startup focused on adventure intelligence - or sorting signal from pandemonium within the quick-moving province of DevOps.

SignifAI, according to its white paper, is a 'SaaS-based correlation engine that leverages AI and machine gaining information of to damage down the records silos present in complicated commercial enterprise IT environments.'

It integrates by the employ of APIs to round 60 favourite monitoring and collaboration tools together with Splunk, AppDynamics, Slack, AWS, Nagios - and NewRelic itself - and promises to aid developers determine the basis understanding behind blunders via sifting through routine, logs, time-sequence facts and infrastructure indicators, rating and outputting probably the most possibly reasons to a consumer console or throughout the monitoring device. clients can additionally instruct the model to enlarge the accuracy of the correlations.

AIOps is a comparatively unusual addition to the blizzard of AI and DevOps-related phrases. It refers back to the employ of computer gaining information of to analyse statistics accrued from a variety of IT operations gear and contraptions in order to spot and react to concerns in precise time.

within the enterprise's weblog, NewRelic's chief product officer Jim Gochee comes down in favour of  the time epoch ‘utilized intelligence' to report the software of laptop researching to the software evolution procedure.

"We determined to employ the time epoch 'applied Intelligence' to clarify their philosophy and strategy to bringing simulated intelligence (AI) / laptop studying (ML) to their house. They chose 'applied Intelligence' to remind ourselves to normally reflect on the particular person words and their meanings, with the direct of protecting us not off course to deliver definitely meaningful consumer cost with their AI efforts," he writes.

04/02/2019 Heathrow trials AI gadget for touchdown planes in execrable climate

In unhealthy weather, visibility from Heathrow's 87-metre tall manage tower can besides breathe enormously decreased as low clouds obscure the views of the runways beneath.

When this occurs, air traffic controllers requisite to matter on radar to ensure that a airplane that has just landed has cleared the runway, and a margin of error should breathe inbuilt for security. This reasons delays and backlogs and a 20 per cent loss of touchdown means, according to Airport World.

this is a local the Place AI - together with ultra HD 4K cameras - can aid, believes air site visitors manage provider NATS. The enterprise has begun a crucible the employ of 20 such cameras installed within the tower together with a laptop getting to know gadget known as Aimee which has been developed by using Canadian dealer Searidge applied sciences. a similar crucible is underway at Singapore's Changi Airport.

as soon as informed, Aimee should silent breathe capable of song the plane from the time they land except they are clear of the runway, even when the cameras' photographs are complicated to interpret by means of the human eye. it will then alert the air site visitors controller who will execute the remaining determination on whether to clear the next arriving flight for touchdown. As such, Aimee is awfully a lot an aid to human determination making instead of being an self sustaining control equipment. 

The behaviour of fifty,000 arriving plane could breathe studied over the next 12 months to peruse how the system responds to precise-world situations.

AI is probably going to play an increasingly crucial position within the management of air site visitors in the future, together with for Heathrow's planned third runway, renowned Heathrow's operations director, Kathryn Leahy.

"we are going to breathe maintaining an in depth eye on this trial, because the know-how could fill an immense position as they build together for the increased airport. they are able to watch how AI and digital towers can breathe used to computer screen totality three of the improved airport's runways in future," she pointed out.

The outcomes of the crucible may breathe presented to breathe offered to the uk Civil Aviation Authority subsequent March.

28/01/2019 Amazon open-sources its SageMaker Neo machine gaining information of optimisation utility

Raspberry Pi Zero

Amazon has open-sourced SageMaker Neo, its software for practising desktop gaining information of models and optimising the pass they race on different types of instruments.

SageMaker Neo is designed to execute inescapable that ML fashions race as successfully as viable on a total lot of machines and environments. in contrast to the working towards stage, wherein fashions are frequently honed on excessive-powered machines, for the inference stage, where the model makes predictions in keeping with unusual information, it could breathe operating on plenty lowlier gadgets.

The atmosphere can fill a huge repercussion on the epoch of time it takes for a model to deduce a result and on the number of such calculations that will besides breathe race in parallel. On zone devices in the IoT - a single board desktop fancy a Raspberry Pi for instance - latency and restrained concurrency will besides breathe severe impediments. ML models are removed from device-agnostic.

Most contraptions can besides breathe optimised to hurry up the inference procedure, but this frequently comprises a unbiased petite bit of manual tinkering and crucible and error. The long-established SageMaker became a mannequin training framework, however SageMaker Neo, delivered ultimate November, combines that with an optimisation stage, taking the utterly educated model and generating an executable it's inescapable to the target gear - breathe that a GPU or a Pi.

"Amazon SageMaker Neo immediately optimises desktop gaining information of models to operate at as much as twice the pace and not using a loss in accuracy. You delivery with a laptop gaining information of mannequin developed the usage of MXNet, TensorFlow, PyTorch, or XGBoost and trained using Amazon SageMaker. you then select your goal hardware platform from Intel, Nvidia, or Arm. With a single click, SageMaker Neo will then bring together the skilled mannequin into an executable," the enterprise says on its site, adding that the compiler uses neural networking concepts to analyse the target platform in order that optimisations will besides breathe utilized.

The Neo-AI assignment is obtainable on Github beneath the Apache software License, permitting developers to tailor the code to suit their own needs.

other cloud companies, including Microsoft and Google, are additionally engaged on applying AI to the ‘intelligent aspect'.

07/01/2019 Huawei announces 'optimum performance ARM-primarily based CPU' aimed at AI workloads

Huawei has introduced what it claims is the world's top-rated performing ARM-based processor.

Unveiled on Sunday, the Kunpeng 920 is intention-built for AI workloads that involve processing colossal volumes of data utilising disbursed storage.

In SPECint benchmarking exams, the Kunpeng 920 scored greater than 930, or virtually 25 per cent better than the industry benchmark, whereas using 30 per cent less energy than rivals, Huawei claims.

The Huawei-designed processor is manufactured on a 7-nanometer technique in line with the ARM structure. It has sixty four cores with clock velocity 2.6GHz and eight-channel DDR4 reminiscence.

The greater performance is essentially because of optimised branch prediction algorithms and an improved number of OP instruments, together with an more advantageous memory subsystem structure, in accordance with the enterprise.

"nowadays, with Kunpeng 920, they are getting into an era of assorted computing embodied via dissimilar cores and heterogeneity. Huawei has invested patiently and intensively in computing innovation to normally execute breakthroughs. they can toil with their clients and companions to construct a totally connected, clever world," talked about William Xu, Huawei's chief approach advertising and marketing officer.

Huawei besides introduced three unusual servers in its TaiShan latitude that may breathe powered through Kunpeng 920 processors. These are aimed toward company records centres for massive statistics initiatives requiring tall concurrency and low power consumption.

The Kunpeng 920 announcement follows sizzling on the heels of the AI-concentrated Ascend AI IP and chip sequence unveiled in October (see earlier during this blog).

With its stress on in-condominium design, Huawei is fitting much less reliant on non-chinese language chipset suppliers equivalent to Intel, Qualcomm, AMD and Nvidia.

The enterprise has been enmeshed in controversy in fresh months, with a brace of nations banning its items in their networking infrastructure, claiming they're a protection chance.

The enterprise has near connections to the chinese executive whose ‘Made in China 2025' strategy objectives ten superior technology areas together with AI, robotics, renewable energy and biotechnology. the us has claimed this approach is a "precise existential probability to US technological leadership".

02/01/2019 Researchers employ machine learning to diagnose dyslexia

Robot AI reading

A pair of researchers fill accomplished promising results from a computing device getting to know analyze of dyslexia amongst faculty children, diagnosing the circumstance correctly in eighty per cent of circumstances with nobody human intervention

Alex Frid and Larry Manevitz from the institution of Haifa, Israel, ran a sequence of assessments on 32 faculty toddlers, 17 of whom had in the past been diaganosed with dyslexia. The infants carried out a Lexical resolution project (LDT) by which they had been requested to select whether strings of letters appearing on a monitor fill been meaningful or no longer.

during this project, the eye movements of subjects fill been monitored and on the equal time electrical undertaking in diverse areas of the intelligence turned into recorded using electrodes placed on the scalp.

After a preprocessing stage, the researchers used the ReleifF to extract meaningful points from the results in an try to classify the consequences. Many effective points fill been truly create out in areas of the signal historically considered as noise.

by pass of practising their ML algorithm the usage of the 60 ‘gold standard' points extracted from the outcomes, the researchers fill been able to diagnose dyslexia with a seventy nine per cent success cost; the usage of simply the ten most excellent facets, a hit fee of 70 per cent changed into nonetheless carried out.

although, the purpose changed into not just to employ ML for prognosis.

One view of the explanation for dyslexia, which impacts an estimated ten per cent of the inhabitants, is that the diverse constituents of the brain concerned in decoding written texts operate asynchronously, so indicators can arrive within the wrong order. The more advantageous the asynchrony, the more complicated analyzing may breathe for the subject.

The ultimate incompatibility between the dyslexic and different readers changed into followed in activity in the left hemisphere of the mind, particularly the left temporal node which has long been notion to breathe crucial within the process of decoding the written notice.

The paper is published by using arxiv.org

19/12/2018 european knowledgeable neighborhood attracts up draft AI ethics guidlines, seeks comments

the ecu fee's high-stage expert community on simulated Intelligence (AI HLEG) has released draft ethics instructions on devoted AI. The 37-page document covers proposals to execute inescapable AI is always human-centric and deployed with "an ethical direct ground in". It contains discussions round limiting prejudice and maximising inclusiveness, in addition to ensuring that AI is stout in design and implementation so that it doesn't antecedent unintentional harm.

AI HLEG boils down the core necessities for trustworthy AI into ten wide areas: Accountability; information governance; Design for all; Governance of AI autonomy (human oversight); Non-discrimination; recognize for (and enhancement of) human autonomy; admire for privateness; Robustness; defense; and Transparency.

It appears at every of these topics from technical and non-technical standpoints as a pass to growing counsel on how every may breathe ensured.

"trustworthy AI has two components: (1) it's going to admire basic rights, applicable law, and core ideas,guaranteeing 'ethical intention'; and (2) it is going to breathe technically robust and reputable," the document notes in its conclusion.

"besides the fact that children, even with the best of intentions, using AI may terminate up in unintentional hurt. therefore ... AI HLEG has developed a framework to in reality implement devoted AI, offering concrete information on its fulfillment."

The group is looking for comments on its draft proposals before 18 January. In March a ultimate edition might breathe offered to the fee.

10/12/2018 Pharma colossal Merck in deal to execute employ of AI for drug discovery

using AI in drug discovery - identifying promising molecules and trying out their suitability using models rather than patients - has been a focus of the pharmaceutical industry for some time. customarily medication require years (and an incredible amount of cash) to movement from the lab into production.

in the newest movement, pharmaceutical gigantic Merck is to licence an AI-based drug screening platform from Canadian biotechnology enterprise Cyclica as a portion of a year-long trial.

Cyclica's Ligand categorical is a drug screening device which Cyclica says is a "cloud-based mostly platform that screens small-molecule medicine towards repositories of structurally-characterized proteins or ‘proteomes' to assess polypharmacological profiles."

with the aid of knowing how a small-molecule drug will engage with totality proteins within the body, scientists can prioritise candidate molecules for medicine, knowing feasible aspect outcomes, and determine genetic diversifications which might strike the binding of the proposed drug to the goal protein. another employ is investigating unusual uses for current medicine.

Small-molecule medication usually goal selected proteins linked to disorder, but once within the constitution they may additionally bind to other proteins too, and the facet outcomes are arduous to divine within the lab, resulting in lengthy R&D and crucible approaches. but AI-based strategies can advocate construct a plenary photograph of the probably interactions of a selected molecule.

Friedrich Rippmann, Computational Chemistry & Biology director at Merck observed the purpose is to determine promising molecules and test them as immediately as feasible.

"Assessing unusual technologies is critical to how they can strengthen their discovery programmes, and synthetic intelligence applications fancy Ligand categorical will provide vital insights to enhance how they feel about goal identification to advocate phenotypic screening and off-goal profiling in general," Rippman stated.

"synthetic intelligence has the vigour to execute the up to now unattainable a fact - we're desperate to harness these unusual possibilities to aid constrain the discoveries that can transform the lives of americans plagued by complicated-to-deal with diseases," introduced Belén Garijo, member of the executive board and CEO Healthcare at Merck.

07/12/2018 AI cracks textual content-based captchas

A crew of computer scientists has developed a unusual computing device gaining information of software that can crack the text-based mostly captchas nevertheless used by pass of many web sites to tender protection to towards bots in a fraction of a 2d.

The application turned into developed via scientists from Lancaster tuition in the UK, Northwest institution within the US and Peking college in China. It makes employ of deep getting to know ideas and its makers declare a lots better success rate in comparison to other captcha assault methods.

It uses Generative Adversarial community (GAN) to decode the captchas, developing simulated captchas that are used to coach the groundwork solver algorithm. here's then great-tuned the usage of a smaller set of real captchas. this saves time and effort, with simply 500 precise captchas required to train the assault programme.

In checks on 33 captcha schemes, some used by pass of the likes of Wikipedia, Google, eBay and Microsoft, the application became able to resolve a captcha within 0.05 seconds when race on desktop pics processing unit (GPU).

It turned into besides able to sidestep advanced protection aspects and demostrated a extreme flush of accuracy.

"It allows for an adversary to launch an assault on services, similar to Denial of provider assaults or spending spam or phishing messages, to pilfer own data or even forge consumer identities," spoke of Guixin Ye, a researcher on the assignment, which become presented on the ACM conference on laptop and Communications security (CCS) 2018 in Toronto.

"Given the extreme success rate of their approach for most of the textual content captcha schemes, websites should silent breathe abandoning captchas."

14/11/2018 facebook, Google and Twitter employ AI to music illegal drug dealing

all over his rather feeble 'grilling' by pass of US Congress over Cambridge Analytica and different themes concerning the fill an repercussion on of his companionable networks, one query that did elicit a (highly) direct response from tag Zuckerberg changed into the illegal sale of drugs on fb and Instagram - presumably as a result of he could employ his commonly used inventory respond of throwing some more AI at the problem.

The opioid pass is a uncooked concern in the US: seventy two,000 americans died from overdoses in 2017 by myself.

Now fb has observed it is actively using AI to tune down purchasers, coordinating its efforts with consultants together with forensic labs and local and countrywide establishments. Google and Twitter are additionally worried in the collaboration.

fb's vp of US public policy Kevin Martin laid out the enterprise's thinking in a blog submit.

"We requisite to execute a must-have materials for treatment more convenient to locate. When americans search for counsel about opioids on fb and Instagram, they direct them to SAMSHA's [Substance maltreat and Mental Health Services Administration] country wide Helpline assistance page and other supplies at no cost and confidential treatment and schooling," he spoke of.

"we now fill additionally begun to roll out proactive detection on facebook and Instagram to rob down greater content material that violates their policies earlier than people may additionally see or file it. Their expertise is in a position to learn content material that comprises pictures of medicine and depicts the intent to promote with tips similar to rate, cell numbers or usernames for other companionable media bills.

"via catching greater posts automatically, this know-how allows for their crew to execute employ of their competencies as a substitute to examine money owed, Pages, corporations and hashtags, as well as toil with experts to spot the subsequent developments."

Susan Molinari, vice chairman for public policy at Google, said that fifty,000 searches about inescapable opioid medicine fill been made everyday on the search engine. 

"We comprehend overwhelmingly the people who are searching for advocate are the parents or members of the family of opioid clients, so they understand that if they will thrust them towards companies just fancy the Partnership for Drug-Free children, then we're getting them immediate connections," Molinari pointed out.

The efforts to date are totality about blocking off content and nudging users against getting aid in preference to reporting transgressors to law enforcement.

24/10/2018 Oracle acquires AI enterprise-intelligence company DataFox

Oracle has bought DataFox, a SaaS AI firm that crunches gigantic volumes of information on public and private groups and feeds the results into an AI engine to create business-intelligence that valued clientele can add to their CRM.

The San Francisco-based mostly startup acquired preliminary funding from Google Ventures in 2014 and counts Bain Capital, NetApp and Goldman Sachs amongst its valued clientele. Co-founder and CEO Bastiaan Janmaat turned into a enlarge equity analyst at Goldman Sachs before founding the firm, and the funding bank has a stake in DataFox.

In a missive to DataFox customers and companions, Steve Miranda, executive VP applications building at Oracle, stated: "The mixture of Oracle and DataFox will enlarge Oracle Cloud purposes with an in depth set of AI-derived business-degree information and alerts, enabling purchasers to attain even enhanced selections and industry outcomes."

DataFox pulls suggestions on hundreds of thousands of organizations from diverse sources together with information articles, digital homes and 'pleasing signals' and analyses them to supply true-time information on when a company's fortunes may breathe about to exchange. Oracle says it plans to "enrich" its cloud functions corresponding to ERP, CX, HCM and SCM with "AI-pushed business-stage data". possibly the view is to pilfer a march on cloud compeition from the likes of Salesforce.

phrases of the acquisition fill not been disclosed.

19/10/2018 UK supermarkets to crucible AI checkouts for age-verification

Facial attention know-how is to breathe trialled via UK supermarkets for age verification purposes, with a brace of as-yet-unidentified stores rolling out the scanning tech at self-carrier checkouts this 12 months and greater largely in 2019.

The rollout is being led by means of US supplier NCR, which makes self-carrier checkout machines for Tesco and Asda among others. The company will integrate an 'AI-powered digicam' (whatever thing that may well be) into the checkout machines, which could breathe capable of estimate the age of consumers when they are purchasing restrained gadgets fancy cigarettes and alcohol. read greater on this yarn here.

19/10/2018 AI - the Place does the legal responsibility lie?

Emma Stevens, Associate Solicitor – Dispute Resolution, Coffin Mew

The arguments regarding liability within the adventure of error or incident are beginning to expand. As trends proceed, and the employ of AI becomes extra mainstream, there will increasingly breathe circumstances which denomination in to question who has liability for the techniques in use.

So says Emma Stevens, associate solicitor - dispute resolution, at law firm Coffin Mew listed here for Computing.

the vast majority of the existing law and case law when it comes to liability and duty in circumstances of negligence greatly pre-dates the continuing robotics revolution. It is obvious that the felony device has a lot of ground to cover before it could possibly simply adjust such advances and the current law will deserve to breathe translated to exercise to instances the Place in view that the role and repercussion of AI and robotics was no longer previously vital.

companies can breathe brilliant to execute themselves privy to the technological advances in the sectors wherein they operate, to execute inescapable that their contracts are clear concerning liability (each generally and for AI) and that they've enough insurance in zone for any methods used, the Place acceptable.

16/10/2018 it's Big businesses that are making the working in computer gaining information of, survey

A survey of facts scientists, application engineers, architects and senior management has create that tremendous establishments are taking the lead of their experiments with computing device researching, with respondents in tremendous firms more likely to trust their efforts as 'refined' and to fill their early successes rewarded by pass of increasing budgets than those in smaller businesses.

About half of the respondents were create within the US, a quarter in Asia with the the leisure based somewhere else. The survey changed into carried out by pass of Algorithmia, a US company offering a market for laptop-studying models.

across the complete sample, the main drivers for deploying machine getting to know fashions were producing customer insights and intelligence and improving the client experience. although, in big organisations improving client loyalty topped the checklist, outlined by 59 per cent. massive businesses had been besides extra likely to mention slicing expenses as being a motivating drive.

simply 10 per cent of corporations counted themselves as refined of their employ of AI and computer gaining information of. The file notes that the variety of groups that pioneered Big information innovations a number of years back besides fill a headstart when it involves deploying machine discovering fashions. they fill the information, the infrastructure and the advantage required to build proprietary internal systems - or 'AI layers'  - on which to set up. Examples involve fb's FB Learner, Netflix's notebook information Platform and Twitter's BigHead. It appears practicable that this lead widen as investment follows success.

A statistic that demonstrates the universal immaturity of the box is the incontrovertible fact that fifty five per cent of efforts are driven with the aid of IT compared with 37 per cent by using the business.

12/10/2018 China will overtake the us in AI, predicts former president of Google China Kai-Fu Lee

Kai-Fu Lee, head of VC firm Sinovation Ventures and former president of Google China, says that AI's fill an repercussion on will breathe hugely disruptive to every thing from the geopolitical dash steadiness to the job market and peoples′ particular person feelings of self value. whereas one of the vital alterations should breathe for the more advantageous, many will not, he says, warning in opposition t the techno-utopianism typical in Silicon Valley.

The hurry of the coming AI revolution makes parallels with the job introduction that accompanied the proliferation of electrical power and the industrial revolution redundant, Lee argued.

"those earlier technological revolutions took a century or longer," Lee defined, in a fascinating if discomfiting interview with IEEE Spectrum. "That gave individuals time to grow, and improve, and invent unusual jobs. but they now fill really one generation with AI, and that's a lot much less time."

"we've opened Pandora's field," Lee went on, contrasting AI with other technological threats. "We did, as humans, control the proliferation of nuclear weapons, but that expertise become underhand and required an vital amount of capital investment. In AI, the algorithms are well generic to many individuals, and it's not viable to ban americans to execute employ of them. college students are using them to beginning agencies."

Lee believes the fact that the algorithms are readily purchasable capability that the nations with the most computing vigour - and probably the most centralised command buildings - will pickup execute the running, finally exporting their innovations to others that could are attempting to sluggish the tide to cushion its affects. China has huge merits over existing leader the USA, he observed, as companies reminiscent of Tencent, which has shut connections to the chinese govt, fill the statistics, the infrastructure and a workforce that′s byfar organized to pickup stuck into the extra humdrum components of developing AI.

"chinese entrepreneurs find areas where there is adequate statistics and a commercially workable software of AI, after which they toil definitely arduous to execute the application work. it's commonly very complicated, dirty, gruesome work. The records isn't exceeded to you on a silver platter."

a lot of the studying information for the ML algorithms comes from functions fancy Tencent′s all-encompassing WeChat app, which is "facebook, Twitter, iMessage, Uber, Expedia, Evite, Instagram, Skype, PayPal, GrubHub, LimeBike, WebMD, Fandango, YouTube, Amazon and eBay" rolled into one. special information about a huge percentage of China′s massive population resides in a single place. And measurement concerns should you're practising neural networks.

These components, along with the chinese government′s skill to squash any opposition to traits fancy driverless vans, are totality within the country′s favour because it seeks to become the predominant drive in AI.

Whichever vigour bloc subsequently takes the lead, the True challenge, says Lee, might breathe how to manage societies characterised by increasing inequality and the need of up to 50 per cent of present jobs, many without a obvious altenative role for those that grasp them, over the coming decades.

11/10/2018 unusual AI-focused announcements from Nvidia and Huawei

photos processing enterprise Nvidia has announced an open-supply GPU-acceleration platform known as Rapids which is aimed squarely at facts scientists who requisite to crunch tremendous volumes of records. Nvidia claims that for desktop researching-type employ instances Rapids has proved to breathe 50 instances sooner than CPU-handiest programs.

Unveiled the previous day in Munich, Rapids is a two-12 months-historical collaboration between Nvidia engineers and Python contributors, building on Apache Arrow, Pandas and Scikit-study. it is released at rapids.ai below the Apache 2.0 open-source licence.

"Rapids connects the records science ecosystem by means of bringing together regularly occurring capabilities from multiple libraries and including the power of GPU acceleration." the enterprise says in its weblog.

in the meantime, Huawei has unveiled two AI-focused chips of its personal. "As a portion of its full-stack AI portfolio, Huawei today unveiled the Ascend AI IP and chip collection, the world's first AI IP and chip collection that natively serves totality eventualities, presenting most useful TeraOPS per watt," pronounces the company's press unlock. "Their unified structure additionally makes it simple to install, migrate, and interconnect AI applications throughout distinct situations," it says.

Alibaba, the "chinese language Amazon" which is investing closely in AI capailities is besides suggested to breathe constructing a unusual AI chip for unlock subsequent yr.

10/10/2018 Apple buys computing device getting to know company Spektral

Apple had stored its $30m acquisition of virtual fact (VR) enterprise Spektral remaining 12 months a underhand unless Danish newspaper Brsen got grasp of the story, reports Apple Insider.

Spektral, whose founders fill now joined Apple, turned into a startup specialising in computing device imaginative and prescient, using deep studying thoughts and GPU hardware to enhance the precise-time processing of pictures and video at once from the camera. Apple is ordinary to breathe aliveto to pickup ahead within the province of augmented fact (AR), and Apple Insider speculates that this could breathe behind the acquisition. Apple recently modified the design of iPhone cameras to superior assist AR and VR it notes.

10/10/2018 What's unusual in Spark and laptop getting to know?

developing effective laptop discovering models is a tricky job, however making fashions that are Amazing enough to assist enterprise techniques operationally is pass more difficult nevertheless. here's why the web giants build their own systems to advocate their records scientists after which engineers. Matei Zaharia and Andy Konwinski of Databricks told Computing about two open supply projects which are designed to carry such capabilities to in the reach of mere mortals. ML circulate is a framework for standardising and packaging workflows and fashions, whereas challenge Hydrogen improves the integration of everyday deep getting to know frameworks such as Tensorflow and PyTorch with Apache Spark. examine the plenary yarn here.

09/10/2018 self sustaining brokers are the subsequent phase of industry AI, claims Fetch.AI

What if AI could tackle advanced negotiation tasks without requiring human intervention? here's the Place they are going subsequent, in response to Cambridge-based mostly startup Fetch.AI, which lately partnered with Clustermarket, a booking platform for loaning scientific gadget. the usage of the gadget, gadgets are represented with the aid of self sustaining brokers which navigate a digital panorama in the hunt for the very best deal for themselves and optimising availability and price ordinary. study extra prerogative here.


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AI and ML latest news: NewRelic acquires startup SignifAI to bring 'applied intelligence' to DevOps | killexams.com real questions and Pass4sure dumps

NewRelic, the cloud-based application analytics firm, has added machine learning to its armoury in the shape of SignifAI, an Israeli-US startup focused on event intelligence - or sorting signal from pandemonium in the fast-moving province of DevOps.

SignifAI, according to its white paper, is a 'SaaS-based correlation engine that leverages AI and machine learning to crash down the data silos create in complex enterprise IT environments.'

It integrates via APIs to around 60 commonly used monitoring and collaboration tools including Splunk, AppDynamics, Slack, AWS, Nagios - and NewRelic itself - and promises to advocate developers identify the root antecedent of errors by sifting through events, logs, time-series data and infrastructure alerts, ranking and outputting the most probable causes to a user console or through the monitoring tool. Users can besides train the model to ameliorate the accuracy of the correlations.

AIOps is a relatively unusual addition to the blizzard of AI and DevOps-related phrases. It refers to the employ of machine learning to analyse data collected from various IT operations tools and devices in order to spot and react to issues in real time.

In the company's blog, NewRelic's chief product officer Jim Gochee comes down in favour of  the term ‘applied intelligence' to report the application of machine learning to the software evolution process.

"We decided to employ the term 'Applied Intelligence' to report their philosophy and approach to bringing simulated intelligence (AI) / machine learning (ML) to their space. They chose 'Applied Intelligence' to remind ourselves to continuously reflect on the individual words and their meanings, with the goal of keeping us on track to deliver truly meaningful customer value with their AI efforts," he writes.

04/02/2019 Heathrow trials AI system for landing planes in execrable weather

In execrable weather, visibility from Heathrow's 87-metre tall control tower can breathe drastically reduced as low clouds obscure the views of the runways below.

When this happens, air traffic controllers requisite to trust on radar to ensure that a plane that has just landed has cleared the runway, and a margin of error must breathe built in for safety. This causes delays and backlogs and a 20 per cent loss of landing capacity, according to Airport World.

This is an zone where AI - together with ultra HD 4K cameras - can help, believes air traffic control service NATS. The organisation has begun a crucible using 20 such cameras installed in the tower together with a machine learning system called Aimee which has been developed by Canadian vendor Searidge Technologies. A similar crucible is underway at Singapore's Changi Airport.

Once trained, Aimee should breathe able to track the aircraft from the time they land until they are clear of the runway, even when the cameras' images are difficult to interpret by the human eye. It will then alert the air traffic controller who will execute the final determination on whether to clear the next arriving flight for landing. As such, Aimee is very much an aid to human determination making rather than being an autonomous control system. 

The behaviour of 50,000 arriving aircraft will breathe studied over the next 12 months to see how the system responds to real-world situations.

AI is likely to play an increasingly vital role in the management of air traffic in the future, including for Heathrow's planned third runway, said Heathrow's operations director, Kathryn Leahy.

"We'll breathe keeping a near eye on this trial, as the technology could fill a major role as they prepare for the expanded airport. They will watch how AI and digital towers could breathe used to monitor totality three of the expanded airport's runways in future," she said.

The results of the crucible will breathe presented to breathe presented to the UK Civil Aviation Authority next March.

28/01/2019 Amazon open-sources its SageMaker Neo machine learning optimisation software

Raspberry Pi Zero

Amazon has open-sourced SageMaker Neo, its software for training machine learning models and optimising the pass they race on different types of devices.

SageMaker Neo is designed to ensure that ML models race as efficiently as practicable on a variety of machines and environments. Unlike the training stage, in which models are generally honed on high-powered machines, for the inference stage, where the model makes predictions based on unusual data, it may breathe running on much lowlier devices.

The environment can fill a Big outcome on the amount of time it takes for a model to infer a result and on the number of such calculations that can breathe race in parallel. On edge devices in the IoT - a single board computer fancy a Raspberry Pi for sample - latency and limited concurrency can breathe severe impediments. ML models are far from device-agnostic.

Most devices can breathe optimised to hurry up the inference process, but this generally involves a unbiased bit of manual tinkering and crucible and error. The original SageMaker was a model training framework, but SageMaker Neo, introduced last November, combines that with an optimisation stage, taking the fully trained model and generating an executable that's specific to the target device - breathe that a GPU or a Pi.

"Amazon SageMaker Neo automatically optimises machine learning models to accomplish at up to twice the hurry with no loss in accuracy. You start with a machine learning model built using MXNet, TensorFlow, PyTorch, or XGBoost and trained using Amazon SageMaker. Then you select your target hardware platform from Intel, Nvidia, or Arm. With a single click, SageMaker Neo will then compile the trained model into an executable," the company says on its website, adding that the compiler uses neural networking techniques to analyse the target platform so that optimisations can breathe applied.

The Neo-AI project is available on Github under the Apache Software License, allowing developers to tailor the code to suit their own needs.

Other cloud firms, including Microsoft and Google, are besides working on applying AI to the ‘intelligent edge'.

07/01/2019 Huawei announces 'highest performance ARM-based CPU' aimed at AI workloads

Huawei has announced what it claims is the world's best performing ARM-based processor.

Unveiled on Sunday, the Kunpeng 920 is purpose-built for AI workloads that involve processing big volumes of data utilising distributed storage.

In SPECint benchmarking tests, the Kunpeng 920 scored more than 930, or almost 25 per cent higher than the industry benchmark, while using 30 per cent less power than competitors, Huawei claims.

The Huawei-designed processor is manufactured on a 7-nanometer process based on the ARM architecture. It has 64 cores with clock hurry 2.6GHz and 8-channel DDR4 memory.

The enhanced performance is primarily due to optimised branch prediction algorithms and an increased number of OP units, along with an improved memory subsystem architecture, according to the firm.

"Today, with Kunpeng 920, they are entering an era of diversified computing embodied by multiple cores and heterogeneity. Huawei has invested patiently and intensively in computing innovation to continuously execute breakthroughs. They will toil with their customers and partners to build a fully connected, quick-witted world," said William Xu, Huawei's chief strategy marketing officer.

Huawei besides announced three unusual servers in its TaiShan compass that will breathe powered by Kunpeng 920 processors. These are aimed at corporate data centres for Big data tasks requiring tall concurrency and low power consumption.

The Kunpeng 920 announcement follows seared on the heels of the AI-focused Ascend AI IP and chip string unveiled in October (see earlier in this blog).

With its stress on in-house design, Huawei is becoming less reliant on non-Chinese chipset suppliers such as Intel, Qualcomm, AMD and Nvidia.

The company has been enmeshed in controversy in recent months, with a number of countries banning its products in their networking infrastructure, claiming they are a security risk.

The company has near connections to the Chinese government whose ‘Made in China 2025' strategy targets ten advanced technology areas including AI, robotics, renewable energy and biotechnology. The US has claimed this strategy is a "real existential threat to US technological leadership".

02/01/2019 Researchers employ machine learning to diagnose dyslexia

Robot AI reading

A pair of researchers fill achieved promising results from a machine learning study of dyslexia among school children, diagnosing the condition successfully in 80 per cent of cases without any human intervention

Alex Frid and Larry Manevitz from the University of Haifa, Israel, ran a string of tests on 32 school children, 17 of whom had previously been diaganosed with dyslexia. The children performed a Lexical determination assignment (LDT) in which they were asked to arbiter whether strings of letters appearing on a screen were meaningful or not.

During this task, the eye movements of subjects were monitored and at the same time electrical activity in different areas of the brain was recorded using electrodes placed on the scalp.

After a preprocessing stage, the researchers used the ReleifF to extract meaningful features from the results in an attempt to classify the results. Many valuable features were in fact discovered in areas of the signal traditionally considered as noise.

By training their ML algorithm using the 60 ‘best' features extracted from the results, the researchers were able to diagnose dyslexia with a 79 per cent success rate; using just the ten best features, a success rate of 70 per cent was silent achieved.

However, the goal was not just to employ ML for diagnosis.

One theory of the antecedent of dyslexia, which affects an estimated ten per cent of the population, is that the different parts of the brain involved in decoding written texts operate asynchronously, so signals can arrive in the wrong order. The greater the asynchrony, the more difficult reading will breathe for the subject.

The greatest incompatibility between the dyslexic and other readers was observed in activity in the left hemisphere of the brain, particularly the left temporal node which has long been thought to breathe vital in the process of interpreting the written word.

The paper is published by arxiv.org

19/12/2018 EU expert group draws up draft AI ethics guidlines, seeks feedback

The European Commission's High-Level Expert Group on simulated Intelligence (AI HLEG) has released draft ethics guidelines on trustworthy AI. The 37-page document covers proposals to ensure AI is always human-centric and deployed with "an ethical purpose ground in". It includes discussions around limiting prejudice and maximising inclusiveness, as well as ensuring that AI is robust in design and implementation so that it does not antecedent unintentional harm.

AI HLEG boils down the core requirements for trustworthy AI into ten broad areas: Accountability; Data governance; Design for all; Governance of AI autonomy (human oversight); Non-discrimination; Respect for (and enhancement of) human autonomy; Respect for privacy; Robustness; Safety; and Transparency.

It looks at each of these topics from technical and non-technical standpoints with a view to creating guidance on how each might breathe ensured.

"Trustworthy AI has two components: (1) it should respect fundamental rights, applicable regulation, and core principles,ensuring 'ethical purpose'; and (2) it should breathe technically robust and reliable," the report notes in its conclusion.

"However, even with the best of intentions, the employ of AI can result in unintentional harm. Therefore ... AI HLEG has developed a framework to actually implement Trustworthy AI, offering concrete guidance on its achievement."

The group is seeking feedback on its draft proposals before 18 January. In March a final version will breathe presented to the Commission.

10/12/2018 Pharma giant Merck in deal to employ AI for drug discovery

The employ of AI in drug discovery - identifying promising molecules and testing their suitability using models rather than patients - has been a focus of the pharmaceutical industry for some time. Typically drugs require years (and a huge amount of money) to budge from the lab into production.

In the latest move, pharmaceutical giant Merck is to licence an AI-based drug screening platform from Canadian biotechnology firm Cyclica as portion of a year-long trial.

Cyclica's Ligand Express is a drug screening appliance which Cyclica says is a "cloud-based platform that screens small-molecule drugs against repositories of structurally-characterized proteins or ‘proteomes' to determine polypharmacological profiles."

By understanding how a small-molecule drug will interact with totality proteins in the body, scientists can prioritise candidate molecules for drugs, understanding practicable side effects, and identify genetic variations which might strike the binding of the proposed drug to the target protein. Another employ is investigating unusual uses for existing drugs.

Small-molecule drugs typically target specific proteins associated with disease, but once in the carcass they may bind to other proteins too, and the side effects are arduous to prognosticate in the lab, leading to lengthy R&D and crucible procedures. But AI-based techniques can advocate build a plenary picture of the likely interactions of a particular molecule.

Friedrich Rippmann, Computational Chemistry & Biology director at Merck said the goal is to identify promising molecules and test them as quickly as possible.

"Assessing unusual technologies is central to how they will further their discovery programmes, and simulated intelligence applications fancy Ligand Express will provide vital insights to enhance how they arbiter about target identification to advocate phenotypic screening and off-target profiling in general," Rippman said.

"Artificial intelligence has the power to execute the previously unimaginable a reality - they are aliveto to harness these unusual possibilities to advocate drive the discoveries that can transform the lives of people affected by difficult-to-treat diseases," added Belén Garijo, member of the executive board and CEO Healthcare at Merck.

07/12/2018 AI cracks text-based captchas

A team of computer scientists has developed a unusual machine learning program that can crack the text-based captchas silent used by many websites to protect against bots in a fraction of a second.

The program was developed by scientists from Lancaster University in the UK, Northwest University in the US and Peking University in China. It uses deep learning techniques and its makers title a much higher success rate compared to other captcha assault methods.

It uses Generative Adversarial Network (GAN) to decode the captchas, creating synthetic captchas that are used to train the groundwork solver algorithm. This is then fine-tuned using a smaller set of real captchas. This saves time and effort, with just 500 genuine captchas required to train the assault programme.

In tests on 33 captcha schemes, some used by the likes of Wikipedia, Google, eBay and Microsoft, the program was able to resolve a captcha within 0.05 seconds when race on desktop graphics processing unit (GPU).

It was besides able to evade advanced security features and demostrated a tall flush of accuracy.

"It allows an adversary to launch an assault on services, such as Denial of Service attacks or spending spam or phishing messages, to pilfer personal data or even forge user identities," said Guixin Ye, a researcher on the project, which was presented at the ACM Conference on Computer and Communications Security (CCS) 2018 in Toronto.

"Given the tall success rate of their approach for most of the text captcha schemes, websites should breathe abandoning captchas."

14/11/2018 Facebook, Google and Twitter employ AI to track illegal drug dealing

During his rather feeble 'grilling' by US Congress over Cambridge Analytica and other topics related to the influence of his companionable networks, one question that did elicit a (relatively) direct response from tag Zuckerberg was the illegal sale of drugs on Facebook and Instagram - presumably because he could employ his favourite stock respond of throwing some more AI at the problem.

The opioid pass is a raw issue in the US: 72,000 people died from overdoses in 2017 alone.

Now Facebook has said it is actively using AI to track down dealers, coordinating its efforts with experts including forensic labs and local and national organisations. Google and Twitter are besides involved in the collaboration.

Facebook's vice president of US public policy Kevin Martin laid out the company's thinking in a blog post.

"We want to execute vital resources for treatment easier to find. When people search for information about opioids on Facebook and Instagram, they direct them to SAMSHA's [Substance maltreat and Mental Health Services Administration] National Helpline Information Page and other resources for free and confidential treatment and education," he said.

"We've besides begun to roll out proactive detection on Facebook and Instagram to rob down more content that violates their policies before people may see or report it. Their technology is able to detect content that includes images of drugs and depicts the intent to sell with information such as price, phone numbers or usernames for other companionable media accounts.

"By catching more posts automatically, this technology allows their team to employ their expertise instead to investigate accounts, Pages, Groups and hashtags, as well as toil with experts to spot the next trends."

Susan Molinari, vice president for public policy at Google, said that 50,000 searches about specific opioid drugs were made each day on the search engine. 

"We know overwhelmingly the people who are searching for advocate are the parents or family members of opioid users, so they know that if they can thrust them toward organisations fancy the Partnership for Drug-Free Kids, then we're getting them instant connections," Molinari said.

The efforts so far are totality about blocking content and nudging users towards getting advocate rather than reporting transgressors to law enforcement.

24/10/2018 Oracle acquires AI company-intelligence firm DataFox

Oracle has acquired DataFox, a SaaS AI firm that crunches big volumes of data on public and private businesses and feeds the results into an AI engine to create company-intelligence that customers can add to their CRM.

The San Francisco-based startup received initial funding from Google Ventures in 2014 and counts Bain Capital, NetApp and Goldman Sachs among its customers. Co-founder and CEO Bastiaan Janmaat was a growth equity analyst at Goldman Sachs before founding the firm, and the investment bank has a stake in DataFox.

In a missive to DataFox customers and partners, Steve Miranda, executive VP applications evolution at Oracle, said: "The combination of Oracle and DataFox will enhance Oracle Cloud Applications with an extensive set of AI-derived company-level data and signals, enabling customers to reach even better decisions and industry outcomes."

DataFox pulls information on millions of businesses from multiple sources including advice articles, digital properties and 'unique signals' and analyses them to provide real-time information on when a company's fortunes might breathe about to change. Oracle says it plans to "enrich" its cloud applications such as ERP, CX, HCM and SCM with "AI-driven company-level data". Presumably the view is to pilfer a march on cloud compeition from the likes of Salesforce.

Terms of the acquisition fill not been disclosed.

19/10/2018 UK supermarkets to crucible AI checkouts for age-verification

Facial recognition technology is to breathe trialled by UK supermarkets for age verification purposes, with a few as-yet-unidentified stores rolling out the scanning tech at self-service checkouts this year and more widely in 2019.

The rollout is being led by US vendor NCR, which makes self-service checkout machines for Tesco and Asda among others. The company will integrate an 'AI-powered camera' (whatever that may be) into the checkout machines, which will breathe able to estimate the age of shoppers when they are buying restricted items fancy cigarettes and alcohol. Read more on this yarn here.

19/10/2018 AI - where does the liability lie?

Emma Stevens, Associate Solicitor – Dispute Resolution, Coffin Mew

The arguments regarding liability in the event of error or incident are beginning to expand. As developments continue, and the employ of AI becomes more mainstream, there will increasingly breathe cases which call in to question who has liability for the systems in use.

So says Emma Stevens, associate solicitor - dispute resolution, at law firm Coffin Mew in this article for Computing.

The majority of the existing legislation and case law in relation to liability and duty in cases of negligence significantly pre-dates the ongoing robotics revolution. It is clear that the legal system has a lot of ground to cover before it can effectively regulate such advances and the existing law will requisite to breathe translated to apply to situations where considering the role and repercussion of AI and robotics was not previously necessary.

Businesses would breathe sensible to execute themselves sensible of the technological advances in the sectors in which they operate, to ensure that their contracts are clear regarding liability (both generally and for AI) and that they fill adequate insurance in Place for any systems used, where appropriate.

16/10/2018 It's Big companies that are making the running in machine learning, survey

A survey of data scientists, software engineers, architects and senior management has create that big organisations are taking the lead in their experiments with machine learning, with respondents in big organisations more likely to reckon their efforts as 'sophisticated' and to fill their early successes rewarded by increasing budgets than those in smaller firms.

About half of the respondents were located in the US, a quarter in Asia with the balance based elsewhere. The survey was conducted by Algorithmia, a US company offering a marketplace for machine-learning models.

Across the entire sample, the main drivers for deploying machine learning models were generating customer insights and intelligence and improving the customer experience. However, in big enterprises improving customer loyalty topped the list, mentioned by 59 per cent. big enterprises were besides more likely to mention cutting costs as being a motivating force.

Just 10 per cent of companies counted themselves as sophisticated in their employ of AI and machine learning. The report notes that the sort of companies that pioneered Big data techniques a few years back besides fill a headstart when it comes to deploying machine learning models. They fill the data, the infrastructure and the skills required to build proprietary internal platforms - or 'AI layers'  - on which to deploy. Examples involve Facebook's FB Learner, Netflix's Notebook Data Platform and Twitter's BigHead. It seems likely that this lead widen as investment follows success.

A statistic that demonstrates the generic immaturity of the province is the fact that 55 per cent of efforts are driven by IT compared with 37 per cent by the business.

12/10/2018 China will overtake the US in AI, predicts former president of Google China Kai-Fu Lee

Kai-Fu Lee, head of VC firm Sinovation Ventures and former president of Google China, says that AI's influence will breathe hugely disruptive to everything from the geopolitical power equipoise to the job market and peoples′ individual feelings of self worth. While some of the changes will breathe for the better, many will not, he says, warning against the techno-utopianism common in Silicon Valley.

The hurry of the coming AI revolution makes parallels with the job creation that accompanied the proliferation of electrical power and the industrial revolution redundant, Lee argued.

"Those earlier technological revolutions took a century or longer," Lee explained, in a fascinating if discomfiting interview with IEEE Spectrum. "That gave people time to grow, and develop, and invent unusual jobs. But they fill basically one generation with AI, and that's a lot less time."

"We've opened Pandora's box," Lee went on, contrasting AI with other technological threats. "We did, as humans, control the proliferation of nuclear weapons, but that technology was underhand and required a huge amount of capital investment. In AI, the algorithms are well known to many people, and it's not practicable to ban people to employ them. College students are using them to start companies."

Lee believes the fact that the algorithms are easily available means that the nations with the most computing power - and the most centralised command structures - will pickup execute the running, ultimately exporting their innovations to others that might try to unhurried the tide to cushion its impacts. China has Big advantages over current leader the USA, he said, as companies such as Tencent, which has near connections to the Chinese government, fill the data, the infrastructure and a workforce that′s quite prepared to pickup stuck into the more humdrum parts of developing AI.

"Chinese entrepreneurs find areas where there's enough data and a commercially viable application of AI, and then they toil really arduous to execute the application work. It's often very hard, dirty, repulsive work. The data isn't handed to you on a silver platter."

Much of the learning data for the ML algorithms comes from applications fancy Tencent′s all-encompassing WeChat app, which is "Facebook, Twitter, iMessage, Uber, Expedia, Evite, Instagram, Skype, PayPal, GrubHub, LimeBike, WebMD, Fandango, YouTube, Amazon and eBay" rolled into one. detailed information about a big symmetry of China′s huge population resides in one place. And size matters when you're training neural networks.

These factors, together with the Chinese government′s skill to squash any opposition to developments fancy driverless trucks, are totality in the country′s favour as it seeks to become the predominant constrain in AI.

Whichever power bloc ultimately takes the lead, the real challenge, says Lee, will breathe how to manage societies characterised by increasing inequality and the loss of up to 50 per cent of current jobs, many with no obvious alternative role for those that hold them, over the coming decades.

11/10/2018 unusual AI-focused announcements from Nvidia and Huawei

Graphics processing firm Nvidia has announced an open-source GPU-acceleration platform called Rapids which is aimed squarely at data scientists who requisite to crunch big volumes of data. Nvidia claims that for machine learning-type employ cases Rapids has proved to breathe 50 times faster than CPU-only systems.

Unveiled yesterday in Munich, Rapids is a two-year-old collaboration between Nvidia engineers and Python contributors, building on Apache Arrow, Pandas and Scikit-learn. It is released at rapids.ai under the Apache 2.0 open-source licence.

"Rapids connects the data science ecosystem by bringing together current capabilities from multiple libraries and adding the power of GPU acceleration." the firm says in its blog.

Meanwhile, Huawei has unveiled two AI-focused chips of its own. "As portion of its full-stack AI portfolio, Huawei today unveiled the Ascend AI IP and chip series, the world's first AI IP and chip string that natively serves totality scenarios, providing optimal TeraOPS per watt," proclaims the company's press release. "Their unified architecture besides makes it simple to deploy, migrate, and interconnect AI applications across different scenarios," it says.

Alibaba, the "Chinese Amazon" which is investing heavily in AI capailities is besides reported to breathe developing a unusual AI chip for release next year.

10/10/2018 Apple buys machine learning firm Spektral

Apple had kept its $30m acquisition of virtual reality (VR) firm Spektral last year a underhand until Danish newspaper Brsen got hold of the story, reports Apple Insider.

Spektral, whose founders fill now joined Apple, was a startup specialising in computer vision, using deep learning techniques and GPU hardware to ameliorate the real-time processing of images and video directly from the camera. Apple is known to breathe keen to pickup ahead in the province of augmented reality (AR), and Apple Insider speculates that this may breathe behind the acquisition. Apple recently changed the design of iPhone cameras to better advocate AR and VR it notes.

10/10/2018 What's unusual in Spark and machine learning?

Creating useful machine learning models is a tough job, but making models that are robust enough to advocate industry processes operationally is far tougher still. This is why the web giants build their own platforms to advocate their data scientists and then engineers. Matei Zaharia and Andy Konwinski of Databricks told Computing about two open source projects that are designed to bring such capabilities to within the reach of mere mortals. ML current is a framework for standardising and packaging workflows and models, while Project Hydrogen improves the integration of current deep learning frameworks such as Tensorflow and PyTorch with Apache Spark. Read the plenary yarn here.

09/10/2018 Autonomous agents are the next phase of enterprise AI, claims Fetch.AI

What if AI could rob on complex negotiation tasks without requiring human intervention? This is where they are going next, according to Cambridge-based startup Fetch.AI, which recently partnered with Clustermarket, a booking platform for loaning scientific equipment. Using the system, instruments are represented by autonomous agents which navigate a virtual landscape seeking the best practicable deal for themselves and optimising availability and price overall. Read more here.


Okta, Inc. (OKTA) CEO Todd McKinnon on Q3 2019 Results - Earnings call Transcript | killexams.com real questions and Pass4sure dumps

No result found, try unusual keyword!Our professional services low margin was negative 3.2% compared to negative ... Microsoft couldn't build every application, so they’ve built the Windows platform and then the app developer community ...

Okta, Inc. (OKTA) Q3 2019 Earnings Conference call Transcript | killexams.com real questions and Pass4sure dumps

Image source: The Motley Fool.

Okta, Inc. (NASDAQ: OKTA)Q3 2019 Earnings Conference CallDec. 5, 2018, 5:00 p.m. ET

Please stand by. superb day and welcome to the Okta Third Quarter 2019 Earnings Call. Today's conference is being recorded. At this time, I'd fancy to revolve the conference over to Ms. Catherine Buan, Vice President of Investor Relations. delight Go ahead, ma'am.

Good afternoon and thank you for joining us on today's conference call to argue Okta's fiscal third quarter 2019 monetary results. My denomination is Catherine Buan, VP of Investor Relations at Okta. With me on today's call are Todd McKinnon, Okta's Co-Founder and Chief Executive Officer; Bill Losch, the company's Chief monetary Officer; and Frederic Kerrest, the company's Co-Founder and Chief Operating Officer.

Statements made on this call involve forward-looking statements pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, including, but not limited to, statements regarding their monetary outlook, their market positioning, and benefits that may breathe derived from their recent acquisitions. Forward-looking statements involve known and unknown risks, uncertainties and other factors that may antecedent their actual results, performance, or achievements to breathe materially different from any future results, performance, or achievements expressed or implied by the forward-looking statements. You should not trust upon forward-looking statements as predictions of future events. Forward-looking statements represent their management's beliefs and assumptions only as of the date such statements are made.

In addition, during today's call, they will argue non-GAAP monetary measures. These non-GAAP monetary measures are in addition to and not a substitute for or superior to measures of monetary performance prepared in accordance with GAAP. There are a number of limitations related to the employ of these non-GAAP monetary measures versus their closest GAAP equivalents. For example, other companies may cipher non-GAAP monetary measures differently or may employ other measures to evaluate their performance, totality of which could reduce the usefulness of their non-GAAP monetary measures as tools for comparison. A reconciliation between GAAP and non-GAAP monetary measures is available on their earnings release.

Further information on these and other factors that could strike the company's monetary results is included in filings they execute with the Securities and Exchange Commission, the SEC, from time to time, including the section titled "Risk Factors" in the quarterly report on configuration 10-Q previously filed with the SEC. You can besides find more detailed information in their supplemental monetary materials, which includes trended monetary statements and key metrics posted on their Investor Relations website.

Now, I'd fancy to revolve the call over to Todd McKinnon. Todd?

Thanks, Catherine, and thanks to everyone for joining us today. Before they begin the call, I'd fancy to rob a jiffy to recognize this day of memorial for the late President George H.W. Bush. They homage his presidency and lifetime of public service to their country and their thoughts are with his family today.

Our third fiscal quarter was another outstanding quarter for Okta, with total revenue and calculated billings both up 58% year-over-year. They continued to invest across their industry while improving their bottom line. Operating margin improved over 22 points and free cash current margin improved more than 18 points year-over-year, making us free cash current positive for the first time.

We besides had a record quarter in terms of customer growth. They added over 450 unusual customers in Q3, bringing their total to over 5,600 customers. Even more exciting is the momentum with their largest customers. They saw 55% growth in customers with over $100,000.00 in annual recurring revenue, which represents a record 100 net unusual adds in the quarter.

This momentum is an indicator that identity is an increasingly strategic imperative for organizations in every industry and validates Okta's approach to helping organizations manage totality their identities through their independent cloud platform. As a reminder, they address two markets: workforce identity, the identities of employees, contractors, and partners, and customer identity, the identities of their customers' customers.

We closed a number of significant deals in the quarter. I'll highlight a few of them.

First, Hertz Global Holdings, a car rental company that operates in 150 countries, is an exciting unusual deal for us. The company chose Okta to securely connect totality of its employees to the hundreds of applications they employ to race their business. Hertz will employ their workforce identity products, namely Okta single Sign-On, Universal Directory, and Multifactor Authentication, to provide a better and more secure user undergo for its associates around the world and reduce IT helpdesk and administration costs.

Next, an international monetary services company with over 750,000 members was a unusual customer identity and workforce identity win for us in the quarter. The company recognized that its outsourced identity solution lacked a plenary view of its customers and did not advocate its digital initiatives. They worked with Deloitte to find a single identity platform that could manage and secure both its members and employees. They selected Okta's customer identity products to provide personalized experiences for its members and their workforce identity products, including single Sign-On, Universal Directory, Lifecycle Management, and Adaptive Multifactor Authentication, to streamline employee access to workforce applications.

A noteworthy upsell in the quarter was the U.S. Department of State, who had initially purchased Okta for authentication for its more than 100,000 external industry partners, but will now expand to its entire workforce. The situation Department evaluated multiple identity solutions to strengthen its security posture and advocate its transition to the cloud. They believe the situation Department selected Okta as its enterprisewide workforce identity solution because of their credibility across the government sector to secure identities and digital assets across a wide variety of users and technologies.

Okta single Sign-On, Universal Directory, Lifecycle Management, and Adaptive Multifactor Authentication products will provide 170,000 situation Department employees, contractors, and agency partners with secure, seamless access to web and cloud-based applications, such as Office 365, ServiceNow, Box, and AWS.

We are very excited about the customer momentum in the quarter. Not only are they seeing more deals, we're besides seeing broader adoption of their technology and we'll continue to innovate and expand on their platform. There are a brace of overarching takeaways I want to highlight from the third quarter.

First, they are seeing traction with the investments they fill made in their confederate strategy. In particular, their confederate ecosystem is growing significantly, as the awareness around identity is increasing and the space is becoming better defined. Meanwhile, big players, such as Deloitte and VMWare, fill recognized Okta as a vendor of altenative for identity solutions, which further enhances their positioning in these confederate opportunities. They are pleased with their momentum in confederate deals in the quarter, including the U.S. Department of State, and believe they are in the early innings of seeing upside from these relationships.

And, second, we've continued to build out their Zero trust security framework. last quarter, I talked about their acquisition of ScaleFT as an vital step in furthering their position in Zero trust security. They believe that identity is the foundation for enabling Zero trust security and we're encouraged to see that validated both by their customers and the industry.

Last month, Forrester Research published its first-ever Wave evaluation of the Zero trust security framework, in which Okta was recognized as a stout performer and earned the highest practicable score in the criteria "People," "Workforce Security," "Vision and Strategy," and "Market Approach."

We're very pleased with their consistently stout results and the momentum we're seeing and they arbiter it's' being driven by several factors. They believe significant technology transitions are pushing the market in their direction. First, every organization they talk to is on a journey to the cloud. Second, they're thinking about how to become technology companies and better engage with customers online or through custom and mobile applications. And, third, security has become a priority at the highest level.

As these transitions unfold, organizations are recognizing the critical role that identity must play in their environments. And while cloud, digital transformation, and security are top priorities, most organizations are silent relatively early in their journeys to realize their plenary potential. They believe Okta's chance will grow alongside totality three of these transitions as they continue to age over time.

The market is validating their belief that identity is the foundation for securely connecting people and technology and they believe that Okta is leading in identity and winning for a few vital reasons.

First, they fill a fundamentally different approach to the space than their competitors. The Okta Identity Cloud is a completely independent and neutral cloud platform for identity. Because their industry isn't tethered to the success of specific applications, customers esteem that Okta will let them select and continuously adopt the best technologies for their business. Their customers arbiter of Okta as an independent platform that helps them future-proof their technology investments.

Second is the Okta Integration Network. Because of the central role Okta plays for their customers, they strive to integration every technology those customers will want to use. With more than 5,500 pre-built integrations to cloud and on-premise applications and advanced integrations, the network security providers fancy Palo Alto Networks, security analytics providers fancy Splunk, and IT operations providers fancy ServiceNow, they believe the Okta Integration Network is their single biggest differentiator in the market.

The breadth and depth of their integrations are critical, especially in this industry, because the kinds of capabilities that they tender are only as useful as the technologies they integrate with. Many of the reasons their customers fancy Okta are the result of their long-term and continued investments in innovation in the Okta Integration Network, reasons such as the hurry of implementation, the skill to rollout applications in days or weeks versus months or years, the skill to address a very complex set of problems with a simple and intuitive solution, and the skill to preserve pace with technology.

And what we've seen as a result is a powerful network outcome that is generating a ton of value for Okta, their customers, and their ecosystem of partners. As they integrate to more technologies, they become more valuable to their customers. As they attract more customers, technology providers become more incentivized to integrate to Okta.

The third understanding we're winning is that we're uniquely able to serve as the identity measure for their customers because they tender a single identity platform for every sort of user in an organization's ecosystem, from their employees and contractors to their partners and their customers. Increasingly, we're seeing customers adopt Okta as this single measure and retire legacy infrastructure along the way, including both longtime customers, fancy Experian, Allergan, or Adobe, and unusual customers, fancy Major League Baseball, who recently presented at their Investor Day. They are able to manage and secure totality of their identities in a consistent pass from a single platform.

The last thing I'll call out that sets us apart is their customer-first focus. They arbiter of customer success in a much broader pass than most technology companies, even most cloud technology companies. For most, customer success is about making sure customers are successful on your platform, that they're able to successfully implement it and employ it. This is, of course, True for us as well. However, since Okta is an enabling platform for people and technology, it has to breathe more. Their customers buy Okta to execute the leisure of their technology even better.

For example, many employ Okta to automate provisioning from their HR systems to downstream applications. Even more employ Okta to rollout applications fancy Office 365 to highly distributed environments. Their metrics for success aren't just about being successful with Okta, they're about being able to automate provisioning through Workday to ameliorate employee on-boarding and off-boarding or being able to rollout Office 365 to big global organizations in a matter of weeks.

These are the kinds of success stories they keeping about most and since we've done these kinds of implementations countless times, their customers are able to rawboned on their undergo and expertise to ensure they're successful with Okta and the technologies they connect to.

In summary, the market is being driven their way, as momentum in cloud, digital transformation, and security are totality converging on identity. And we're winning because of their independent and neutral approach, the breadth and depth of the Okta Integration Network and their skill to tender one platform for every employ case, and their customer-first focus.

Thanks again for your time today and I'll now revolve it over to Bill to walk through the monetary results.

Bill Losch -- Chief monetary Officer

Thanks, Todd. And thanks again to everyone for joining us. I'll first Go through their results for the third quarter of fiscal year 2019 before discussing their outlook.

We had another stout quarter, with revenue totaling $105.6 million, growing 58% year-over-year. Subscription revenue totaled $97.7 million in the third quarter, an enlarge of 58% year-over-year, representing 93% of their total revenue, up slightly from 92% in Q3 last year. Professional services revenue was $7.9 million, an enlarge of 56% over the same epoch last year.

Revenue from outside of the U.S. grew 58% year-over-year and represented approximately 16% of their third quarter revenue, consistent with Q3 last year. They continue to view their international industry as a long-term growth driver and they are investing strategically to foster this incremental growth opportunity.

Moving on to billings, the current portion of calculated billings growth for the quarter was 57% year-over-year. Total calculated billings for the third quarter totaled $124 million, an enlarge of 58% over Q3 last year. They were very pleased with their calculated billings growth and the underlying claim that continues to drive their business. Contributing to their tall billings growth rate was better than expected bookings linearity in the quarter and the profitable timing of inescapable invoices.

Our growth has benefited from momentum of unusual customer additions as well as upsells within their customer groundwork across totality of their segments. The total number of customers at the terminate of the quarter was over 5,600, up 42% year-over-year, a slight acceleration from Q2. They saw broad additions across their enterprise customer groundwork and added a record number of net unusual customers with annual recurring revenue greater than $100,000.00, up 100 from the previous quarter to 937, representing a 55% year-over-year growth.

Our dollar-based retention rate for the trailing 12 months ended October 31st remained stout at 120%, demonstrating the ongoing success they are having expanding within their existing customer base.

Before turning to expense items and profitability, I would fancy to point out that I will breathe discussing non-GAAP results going forward. Their GAAP monetary results, along with the reconciliation between GAAP and non-GAAP results, can breathe create in their earnings release, as well as the supplemental materials posted on their Investor Relations website.

Subscription low margin continues to breathe stout at 82.2%, up 180 basis points versus the third quarter last year. Their professional services low margin was negative 3.2% compared to negative 30.6% in the third quarter last year, primarily due to stout utilization and improving operational leverage. Total low margin was 75.8% for the third quarter, up 380 basis points year-over-year. low profit was $80 million, up 66% year-over-year. Their low margin represented a unusual record tall as they continue to scale their platform.

Turning now to operating expenses, sales and marketing expense for Q3 was $50.7 million compared to $43.7 million in Q3 last year. This represents 48% of total revenue, an improvement from 65% in the third quarter last year. This year-over-year improvement was aided by the expense repercussion due to the timing of Oktane, their annual customer event, which was held in Q3 of last year but in Q2 of this year.

R&D expense in Q3 was $21.3 million compared to $14 million in Q3 last year. This represents a growth rate of 52%, as they continued to invest significantly in the Okta Identity Platform and their Okta Integration Network. At the same time, R&D as a percentage of revenue remained fairly consistent at 20% compared to 21% in Q3 last year.

G&A expense was $14.5 million for the third quarter compared to $9.9 million in the third quarter last year. G&A was 14% of revenue, an improvement from 15% for Q3 last year.

Our total headcount was 1,473 as of October 31st, growing 29% over Q3 of last year. They are adding headcount across the board to advocate the growth of their industry and hope headcount growth to continue to accelerate in the fourth quarter as they further invest in their go-to-market initiatives and innovation across their platform capabilities.

We remain focused on durable growth and as a result, they see continued improvement in their operating margin while maintaining stout top-line growth. Operating loss in the quarter was $6.5 million, which is a margin of negative 6.1%, compared to a negative 28.9% in the same epoch last year, a significant improvement of over 22 points. Net loss per share in Q3 was $0.04 with 109 million basic shares outstanding. This compares to a net loss per share in Q3 last year of $0.19 with 95 million basic shares outstanding at the time.

Operating cash current was positive $6.4 million in Q3. Operating cash current margin was 6.1% compared to negative 14.2% in Q3 last year, an improvement of over 20 points. Their top-line outperformance and continued margin improvement resulted in positive free cash current in the quarter for the first time. Free cash current came in at a positive $1.4 million in the quarter. Free cash current margin was 1.3%, an improvement of over 18 points compared to a negative 16.8% for Q3 last year.

We are particularly pleased with this given the repercussion they saw with CapEx in the quarter due to their ongoing headquarter office expansion. While they are encouraged by their stout cash current performance in the quarter, they continue to hope to see variability in free cash current margin due to this expansion, along with ongoing fluctuations in working capital.

Turning to the equipoise sheet, they ended the third quarter with $546 million in cash, cash equivalents, and short-term investments. This includes the net proceeds of $307 million from the convertible senior notes they issued in Q1.

Moving on to guidance, for the fourth quarter of fiscal 2019, they expect: total revenue of $107 million to $108 million, representing a growth rate of 39% to 40% year-over-year; non-GAAP operating loss of $12.5 million to $11.5 million; non-GAAP net loss per share of $0.09 to $0.08, assuming shares outstanding of approximately 110 million.

For the full-year fiscal 2019, they now expect: total revenue of $391 million to $392 million, representing a growth rate of 52% to 53% year-over-year; non-GAAP operating loss of $49 million to $48 million; non-GAAP net loss per share of $0.37 to $0.36, assuming shares outstanding of approximately 107 million.

Although they are silent early in monetary planning for fiscal 2020, I would fancy to provide a preliminary view as you peruse at your models for next year. They currently estimate revenue for fiscal year 2020 to breathe between $510 million and $520 million, representing a growth rate of 30% to 33%.

In summary, I'm pleased with their consistent execution and the results they reported this quarter. They remain committed to durable growth, as outlined at their Investor Day in October. They see this growth coming from customer momentum, confederate channel traction, international expansion, and innovation in their platform and network. In particular, this quarter, we're excited about the continued traction they see across their confederate ecosystem. They remain confident in their positioning and long-term strategy.

As Todd mentioned, they see capitalize from the market tailwinds that are elevating the requisite for identity. These tailwinds, in addition to the success we've seen with their leading platform, Integration Network, and customer-first approach, continue to build us in a winning position. They are excited about the opportunities ahead and peruse forward to closing out the year on a stout note.

With that, Todd, Frederic, and I will rob your questions. Operator?

Questions and Answers:

Operator

Thank you. If you would fancy to claim a question, delight signal by pressing "*1" on your telephone keypad. If you are using a speakerphone, delight execute sure your mute role is turned off to allow your signal to reach their equipment. Again, press "*1" to claim a question.

And we'll rob their first question today from Sterling Auty with J.P. Morgan.

Sterling Auty -- J.P. Morgan -- Analyst

Yeah, thanks. Hi, guys. I believe Microsoft Azure vigorous Directory had a brace notable outages in the recent past here and I'm just wondering if that's actually changed the conversations or the number of discussions driving more interest in your solution or is it even having an adverse outcome where companies are perhaps nervous about identity in the cloud?

Todd McKinnon -- Co-Founder and Chief Executive Officer

Hey, Sterling. It's a superb question. We're having so many conversations with so many customers and they totality benign of supervene the same key, Big trends. One is just customers requisite advocate adopting more cloud. They're thinking about apps -- Office 365, Google Apps. They're thinking about infrastructure -- Amazon, Azure. They're thinking about industry apps -- Salesforce, Workday, ServiceNow.

And the reliability, as you mentioned, is one thing but there's just a total host of things they're trying to motif out. And they're trying to motif out security, to execute sure these apps are accessible and secure. They're trying to motif out how to pickup the most industry benefits out of it. And they are increasingly realizing that identity is the key to a lot of that. If you want to achieve secure deployments, if you want to achieve quick deployments, if you want to achieve deployments that will pickup the industry benefits, you fill to fill your identity yarn straight.

Vis a vis Microsoft, specifically, one thing that's challenging is that, because of their breadth of customers, now over 5,600 customers, and many, many of those customers using some technology from Microsoft, they actually pickup visibility into the reliability of Microsoft's products. So, they actually -- it's not just in conversations with customers or prospective customers, but it's conversations with existing customers, talking about what was the extent of this outage, can you understand how broadly the repercussion was.

So, we're able to advocate customers understand the breadth of some of the technology choices they are using and the pros and cons and that's the capitalize of being this independent and neutral platform. So, I would insist it is something they see but in the august scheme of things, it's one of the many conversations we're having.

Sterling Auty -- J.P. Morgan -- Analyst

All right. Great. And then one quick follow-up on Zero Trust. How should they arbiter about what portion of the Zero trust architecture that Okta will ultimately provide? And I guess what I'm thinking about is it seems like, in some of these models, you'll fill some of the cloud gateway companies playing a role as well. So, is that an zone where they should peruse for increased partnership from Okta stirring forward?

Todd McKinnon -- Co-Founder and Chief Executive Officer

It's a superb question. So, Zero trust is the term in the industry these days -- it's a fairly recent term in the industry -- which basically means don't trust the network. Give the user the same undergo regardless of whether it's an internal network or a network from home or a network from a coffee shop. Give them the same experience. same august ease of employ and, most importantly, same august security.

So, many times, customers aren't asking for Zero Trust, per se, they're asking for, "How achieve you execute this totality secure?" And they're saying, "We fancy the cloud. We're trying to build better customer-facing applications but security is paramount and they requisite advocate securing that all." And what they're increasingly realizing is that identity is the key to that. You fill to control identity to give a really august user undergo and a secure user experience.

So, now Zero trust is the industry trying to build a design pattern in Place around what this truly looks fancy and what are the different components you requisite and what achieve you requisite on the client. What achieve you requisite on the device? What achieve you requisite in terms of, as you mentioned, gateways and other things? And people fill different opinions but one thing that's becoming very clear is that you fill to fill identity covered well and you fill to fill a superb identity backbone to achieve security and to achieve Zero Trust.

So, I arbiter what you'll see is -- and you see it in their results -- that identity is prevalent and pervasive, especially as customers achieve more cloud and want to breathe more secure. And then the actual details of that, whether you requisite a gateway or how the VPNs suitable in, those details will breathe figured out over time but identity is going to breathe at the core.

Sterling Auty -- J.P. Morgan -- Analyst

Got it. Thank you.

Operator

Next we'll hear from Terry Tillman with SunTrust.

Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

Hey, superb afternoon, everyone. Thanks for taking my questions and august set of results. Maybe the first question because they heard a lot in your all's prepared remarks about confederate momentum. I know earlier in the year it looked fancy you totality benign of refined your confederate program with confederate Connect and maybe redesigned it. So, I don't know if some of that's behind benign of this amped up success with partners but maybe you could just talk about some of the things, structurally, you've been doing around partnering. And then maybe, more specifically, VMWare and Deloitte, a petite bit more specificity in terms of the momentum with them.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Yeah, absolutely. Hi, Terry, this is Frederic. cheerful to talk about that. I arbiter you bring up a very vital point, which is the importance of partners in their business. It's something we've obviously been working on for a number of years. These things are not things that you can just revolve on overnight. I arbiter you highlighted a brace of examples of some of the Big categories that I would point to and that they see a lot of momentum growing in their business.

The first one are the global system integrators. You mentioned Deloitte, but besides some of the other folks that are out there as strategic advisors and implementers to big enterprise and public organizations. Deloitte is doing very well. I was just, actually, in Europe last week with a number of their customers opening up their Franc office and had an chance to talk with some of the senior partners there and they're as excited in Europe as they are in North America to toil with us, both on the security implementation side but besides on the big digital transformation projects that they want to breathe involved with.

The second piece are very big technology partnerships that are starting to Come into play. Again, you mentioned a very vital one, VMWare. For those of you who might not bethink totality the details, they announced an vital partnership that they started last May at Oktane with VMWare with first technology and industry integrations between their teams. They furthered that at VMWare's VMWorld and VMWorld Europe in Barcelona in early November, where they talked about the second flush of technology integration, as well as extending that partnership out to VMWare's channel. And, again, in Europe last week, I heard from a lot of folks in the VMWare channel who were very excited about this partnership, as well as customers and prospects excited at seeing us toil with such a big and vital company and an vital piece of technology for them.

And then, finally, I would just point to the Okta Integration Network, which continues to breathe the de facto measure in the industry for the best and broadest, deepest integrations across thousands of not only applications, but pieces of infrastructure, networking gear, and everything else, with dozens of advanced integrations that are really benefiting their customers, where they find these solutions, end-to-end, drive a lot of value.

So, they are seeing a lot across totality the different pieces of their confederate ecosystems, which they continue to invest in, but fancy their business, these are early days and the opportunities ahead are very big and we're excited to preserve building upon these results.

Todd McKinnon -- Co-Founder and Chief Executive Officer

Yeah. And I would add, Terry, that the programmatic things that Freddy talked about are very vital but one thing I've noticed is that the industry results we're showing are really motivating the partners. So, if you talk about 100 unusual deals over $100,000.00 in ARR, partners notice that as well and they want to breathe on board with the latest trends and the leader in this industry. And the industry success and the momentum in the market has driven the confederate momentum as much as anything else we've done programmatically.

Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

That's great. Thanks to both of you for the answer. And I guess just my quick follow-up is on ThreatInsight. Todd, I know earlier in the year, you totality benign of unveiled benign of where you could Go with totality this analytics horsepower. It looked fancy the pass some of this could toil is you fill to buy the higher price point, the SSO or the MFA product, to pickup access to it. But what can you just achieve in terms of an update on ThreatInsight, how it's being received, and just where you are with that? Thanks again.

Todd McKinnon -- Co-Founder and Chief Executive Officer

ThreatInsight, essentially, it's really vital for the value it delivers to customers and it delivers value in a pass that's pretty special. Because they see so many customers and so many logins, they can detect threats across the entire ecosystem and then they can expose that threat intelligence back to individual customers and let them configure policies in Okta that would execute inescapable decisions based on those threats that are germane to an individual customer. So, because they see the data, they can execute the product more valuable for individual customers and it's one of the benefits of being on the cloud platform.

ThreatInsight is going very well. They are continuing to roll it out and uptake has been very positive. We're working with getting a lot of feedback from customers, not just on ThreatInsight but in the overall policy engine and continuously innovating around the capabilities, as they achieve for totality of their features. They fill this model, this cloud model, which allows us to continuously release features and functions but besides the data changes totality the time. So, as threats emerge, it's updated in real-time in ThreatInsight. So, it's a very powerful capability that's being well-received by the customer base.

Operator

Mr. Tillman, achieve you fill anything further?

Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

I arbiter I've taken enough of their time. Thank you.

Operator

Thank you. We'll now hear from Alex Henderson with Needham.

Alex Henderson -- Needham & Company -- Analyst

Great. Thank you very much. I was hoping you could talk a petite bit about the competitive landscape relative to Cisco's acquisition of Duo and to what extent you're seeing any change in the deportment of customers that they've been associated with or to what extent, as you're going through your competitive processes, you are taking more industry from that channel or any change in that dynamic?

Todd McKinnon -- Co-Founder and Chief Executive Officer

We haven't seen a change. The Big picture is that there are a lot of deals. I mean, the market is really accelerating. There are a lot of deals. And the overall competitive trends are very consistent with what we've seen. Their win rates fill been consistent for several years with respect to totality the competitors.

The competitors are different. It's very different when you're competing with someone fancy a Microsoft, where the dynamic is, customers, they really don't want to breathe locked into Microsoft. They're worried about lock-in to a inescapable platform, particularly Microsoft. So, there, it's about this broad identity platform that can advocate multiple technologies, give the customer altenative and freedom from any benign of being driven down a inescapable path. That's powerful to them.

Different competitors are different. So, maybe a legacy competitor, it's totality about a product set that's not being updated or not being migrated to the modern environment and they see us as their pathway to the future, their pathway to the cloud, their pathway to digital transformation. Or a point competitor, maybe that just doesn't fill the breadth of coverage and can't pickup into deals and can't cover the field. Or maybe it's just more of the niche solution, not a broader platform.

So, I think, back to your question about Duo and Cisco. First of all, you asked the question about competitive but I would first insist that they are very stout partners with both Cisco and with Duo. Duo, they fill a seamless integration with Duo on their platform. They fill a very seamless integration with Cisco, their firewall products. So, we're very, very cheerful with those partnerships and those continue to breathe productive.

On the competitive side, they achieve fill some product overlap with Duo and they continue to compete with them. And I arbiter it's natural that you're going to see, any time there's a Big acquisition fancy that, you're going to see some disruption, in terms of the execution of them independently. And I arbiter they are seeing that to some degree. But they arbiter that the partnership will continue and where they compete, we'll compete, and the environment will breathe consistent over time. And the Big picture, there's a lot of value to breathe created for customers and we're sedulous trying to capture and deliver that as much as possible.

Alex Henderson -- Needham & Company -- Analyst

Just one broader question. So, clearly, as we're stirring to a world where the center of gravity of security is stirring out of the enterprise and into the cloud, the architecture of security delivery has to change. And I assume that no single company is going to breathe able to provide the plenary platform. In that environment where we're federating multiple security clouds together, does Okta terminate up being the primary connective tissue between them? And if that's the case, what role achieve you play in the policy piece of that?

Todd McKinnon -- Co-Founder and Chief Executive Officer

Well, I think, if you arbiter about the definition of the word "platform," at least how they arbiter about it, a platform, by definition, is a set of underlying capabilities that then other people build on top of to provide the plenary set of value to the ecosystem. So, if you arbiter of Windows, Microsoft couldn't build every application so they built the Windows platform and then the app developer community built totality the applications. If you arbiter about -- there's other examples -- iOS, right? Apple couldn't build totality the apps into iOS so they opened up this platform and the app store and then developers built it.

So, when you insist the entire security ecosystem, they absolutely agree. They arbiter that no one company can build it all. It's totality about altenative for the customers. But then you pickup down to what is the platform and what is the prerogative thing to pivot off of to breathe the basic thing you requisite to fill a ply on but then other people could build around? And for us, that's identity. They arbiter by being the system of record for identity, they can breathe the foundational platform and other people can build around us. So, the pass they arbiter about the world is we're the identity platform and then totality these other adjacent categories will plug into us and provide the "applications" for their platform. So, that's how they arbiter about the world. And if you arbiter about looking at how we're investing in the product, it's consistent with that.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

I think, Alex, just to add on that, you see that besides from a customer perspective. I mean, what they insist is they're very excited about a lot of the advanced integrations that they fill in the Okta Integration Network because it allows them to leverage the investments that they've made -- for example, in Palo Alto Networks -- pickup it pre-integrated with Okta and that pass they can pickup more value out of both of the solutions. The Palo Alto Networks firewall can talk to Okta and back and forth. So, you actually pickup more information by connecting them.

In fact, they fill a number of -- and I see this more and more with their big enterprise customers. A superb sample is a big monetary institution, I arbiter in Texas, was the first one to achieve this. They are now actually writing into totality of their unusual technology contracts that the solutions they're buying must breathe pre-integrated to Okta. So, what you're getting is not only the existing technology vendors know that they requisite to confederate but the next generation of security vendors are coming to us and saying, "Clearly, you're the unusual identity standard. This single identity platform, it's foundational. They want to execute sure we're pre-integrated to it." And you really see that flywheel spinning, which I arbiter is going to breathe very exciting for customers' success in the times ahead.

Operator

Next, we'll hear from Richard Davis with CG Financial.

Richard Davis -- Canaccord Genuity -- Analyst

Thanks. So, maybe I'll rob a remix on Sterling's question a petite bit. So, when achieve you guys arbiter we're going to pickup to the point where you and maybe another modern security vendor or two will allow chief security officers to deliver money and benign of de-provision or discontinue spending on security systems that -- when I talk to these guys and gals, they're just like, "We know we're over-insuring with stuff that's repetitively redundant," so to speak. achieve you arbiter there's a point where they pickup to that point? Where you can walk in and go, "Look, it's a arduous $1.00 ROI. You can prick off six different things." Thanks.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

I arbiter that's an challenging question. From their perspective, it's about the choice, right? And it's about the altenative to pick the apps, the infrastructure, the platforms, the security tools that are best for the customer. I arbiter in some cases that's a consolidation of disburse around inescapable vendors. In some cases, it's branching out into unusual areas for some industry drive or industry growth. I arbiter that the flexibility customer needs -- I think, as many customers I talk to that want to consolidate and prick down on vendors, many more are branching into unusual areas and want to expand. So, I arbiter it's got to fill flexibility to Go both ways.

But I achieve arbiter that you fill to -- and I arbiter you see this in totality the super successful companies. You fill to manage something that is something that the customer can pivot around, whether it's -- with us, it's the person and the identity. With other vendors, it's different things. But we're very confident that their strategy of being the system of record for identity is the prerogative strategy and give customers the flexibility to rob the technology in the pass it needs to breathe best for them.

Richard Davis -- Canaccord Genuity -- Analyst

Got it. And then just a quick follow-up. So, we've seen identity management benign of evolve from password reset companies to multifactor to adaptive MFA. So, fill you guys ever said how much penetration the -- whatever, the highest portion of Maslow's Hierarchy of Identification is there? Is it 10%? Is it 5%? I mean, I know you're at the foothills. fill you looked at that on that basis at totality or not?

Frederic Kerrest -- Co-Founder and Chief Operating Officer

I arbiter it's -- I don't fill the numbers. I arbiter it's -- my impression from customers I talk to and so forth, the super sophisticated machine-learning driven is very, very rare. I arbiter most customers are trying to pickup things integrated and pickup the prerogative security policy on the prerogative resources. I arbiter the swear is, longer term, more autonomous, more machine learning sort things, benign of the truly adaptive for everything. But most customers just want the flexibility to connect totality their technology and then achieve policies arrogate for the prerogative resources based on the risk level. And I arbiter that people know it's a superb idea. The understanding it's arduous is because stuff's not integrated. And one of the things we're doing is trying to bring that pre-integrated approach to it with the Okta Integration Network. And they arbiter if they can integrate everything, they can give customers basically a fighting haphazard to achieve the prerogative policy on the prerogative resources and that's going to execute things much better, in terms of ease of employ for the users but besides for security.

Operator

We'll now hear from Heather Bellini with Goldman Sachs.

Heather Bellini -- Goldman Sachs -- Analyst

Great. Thank you so much for the question. I had two for you guys. I guess the first one would breathe you continue to just fill a really superb improvement in the net unusual customer matter with over $100,000.00 in spending. Ninety last quarter, 100 this quarter. Is something changing in terms of the number of products they might breathe purchasing upfront for the first time? Is it potentially that they're just doing larger deal sizes of a single product than maybe what you were seeing before? I just was wondering if you could give us some color there.

And then I had a question. I know someone asked about some of the issues that Microsoft had over the last few months. But I was more wondering, when you see headlines fancy the one with Marriott last week, does that ever -- achieve you see breaches fancy that ever causing benign of a spike in deal activity or at least RFPs for you guys? Thank you.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Thanks, Heather. I'll rob the first question regarding what we're seeing in that momentum. I arbiter it's a brace of things. First of all, obviously, we're very fortunate in that we're addressing two big markets: workforce identity management and customer identity management. So, what you see is you see customers that can now start in either of those big two markets with any of their five different products. And as you start working with larger and larger organizations, whether they're governmental organizations or private companies, they find more and more ways to employ the product. So, they could start, for example, with Multifactor Authentication for a customer situation and then they could find ways to deploy it internally for workforce. So, there's a lot of points where they can land and expand.

No. 2, I arbiter you're starting to see us just -- there's a natural momentum between, as they roll out 40 unusual releases a year in their agile software evolution model, there's a lot more features and functions coming totality the time and there are more and more advanced employ cases they can advocate customers address. At the same time, you're starting to see larger and larger enterprises turning around and saying, "We are going to fill a cloud-first approach." last week when I was in Europe, I bethink meeting with a big utility a brace of years ago and they said, "We're never going to fill anything in the cloud." And that same utility, one of the largest utility companies in Europe, started the conversation last week with, "We now fill a cloud-first mandate across the business."

And so you're just seeing much larger organizations saw they fill to pickup on this journey to the cloud. They fill to undertake a digital transformation. And so the convergence of us being able to provide more solutions for them and the enterprise finding more and more ways to leverage the service, I arbiter is what you're starting to see drive those results. By the way, that's the same understanding that organizations fancy Deloitte are finding more and more interest in working with us because, obviously, they're working with the largest organizations in the world. What I would say, though, is it's very early. So, I arbiter that, in this transformation, their best days, by far, are ahead of us in helping these big enterprises. We're very cheerful with the results they fill but I arbiter that it's going to breathe very exciting in the times ahead.

And then on the second piece regarding Marriott specifically. They can't point to anything this week, where there are more inbound phone calls from organizations looking for that. Certainly, it is luckless whenever you read one of those headlines for those organizations because it's a very tough position to breathe in.

But, yes, I arbiter it highlights a brace of things. First of all, it highlights the fact that every company has to arbiter about how they're going to modernize their technology and how they're going to prioritize security in a unusual way. Whether you're a high-tech company, whether you're a retail company, whether you're in the hospitality industry, it applies to every organization.

No. 2, I arbiter it besides highlights what they totality know, which is there's a significant dearth of advanced software developers in the world, in North America, and specifically in security, and you can imagine that for a lot of these big companies, it's arduous just to attract totality of these advanced security software developers to their company.

And then, finally, identity is only now starting to become the center. People are now starting to Come around to the fact that it is so critical. But it's rob a while and, certainly, a lot of these companies fill had these resources available. So, Marriott's been out there with their programs for many, many years. Now it's time to modernize them.

I arbiter I would just point to what they just said with the Albertsons customer press release that went out today as well. A very superb sample of a company that's been around 80+ years. They've had loyalty and rewards programs for a long time. But they realized it's time to modernize and so they started working with us a brace of quarters ago and today there's 30 million consumers accessing Albertons, Safeway, and totality of their customer identity management resources on a weekly basis. I arbiter those are the kinds of trends that you're going to see more and more of in the times ahead and, certainly, they arbiter that we're very excited about the chance to advocate a lot of customers with those opportunities in their businesses.

Heather Bellini -- Goldman Sachs -- Analyst

Great. Thank you very much.

Operator

Next, we'll hear from Shaul Eyal with Oppenheimer.

Shaul Eyal -- Oppenheimer -- Analyst

Thank you. superb afternoon, guys. Congrats on another set of stout results. I want to actually palpate on --

Todd McKinnon -- Co-Founder and Chief Executive Officer

Thank you, Shaul.

Shaul Eyal -- Oppenheimer -- Analyst

Absolutely. Absolutely. I wanted to claim about some of the clients and constrict announcements you've made, probably starting with Albertson. It appears to breathe a sizable customer. I arbiter you indicated 30 million customers/users, from their perspective, interacting on a weekly basis. Was that a displacement? Probably not but just want to hear your thinking about it. And besides maybe talk to us, Todd or Freddy, about the process, maybe the timeframe it took from POC to PO and probably what are the other long-term opportunities you can see with this specific client? And then I fill a question on the situation Department contract. Thank you.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Yeah, absolutely. Thanks for the question, Shaul. I'll start with Albertsons. So, your first question was about what they displaced there. I mean, Albertsons, fancy a lot of big organizations, has been built up over the years through M&A. Right? So, if you look, they have, today, dozens of different properties in food and drug retail. And so as these different organizations fill evolved and as Albertsons has rolled up more and more of these different brands, each of those different companies has Come with their own set of infrastructure. So, in fact, there was legacy infrastructure but not just at Albertsons proper. At Safeway and at totality the other brands. And so what you fill is this sprawl where they fill many different installations. Some of them might breathe homegrown. Some of them might breathe a CA. Some of them might breathe an Oracle or IBM.

And so what happens is you, as an terminate customer, it's a execrable undergo for you because you might fill an Albertsons login and a Safeway login. You don't pickup the value across both of them. They don't know what you're doing. And then at Albertsons, obviously, they want one view of you so they know where you're purchasing across totality their properties, both on the web, on the mobile, physically inside the stores. And so by transforming across totality those different pieces of on-prem infrastructure, stirring to a centralized cloud platform fancy the Okta Identity Cloud, putting totality of those different resources inside one central database -- they're using their Okta Universal Directory -- and allowing their customers to fill a much more seamless experience, it's enhancing the customer experience. But also, obviously, on the back end, providing Albertsons with much better visibility into what their customer is doing across totality these different properties. And that is the True value.

So, absolutely, they did displace legacy technologies but it wasn't just one piece. It was, undoubtedly, many pieces that they were having a lot of wretchedness federating because they've been around for 10, 15, 20 years and inside different data centers and it gets very, very complicated.

On your second question around the time to toil with the customer, I arbiter you'll probably breathe pleasantly surprised. Albertsons has been a customer of ours for less than four quarters. I can Go back and peruse exactly but, certainly, I arbiter it was since the beginning of this fiscal year where they signed up. And I arbiter that time to value is something that you really only pickup with a modern cloud platform. The fact that they were able to rollout 30 million customer visits on a weekly basis across totality these different myriad properties, both physically, both on the web, on mobile applications, and the fact they were able to achieve that in a matter of a brace of quarters, that's how you pickup this customer success.

And it's because of the foundational platform that they fill in there that you start seeing -- they pickup very quick ROI. The TCO is easily understandable. And very quickly, they Go from us helping them resolve one specific problem, where they become then the identity measure and they become pervasive across their entire organization. And identity really becomes this foundational platform they pickup a lot of solace around and they can build on. So, that's specifically around Albertsons.

I believe you besides had a question -- you said a follow-up question around the situation Department?

Shaul Eyal -- Oppenheimer -- Analyst

Freddy, thank you. This is really great, august color. And probably on the situation Department, that comes under the federal vertical. Talk to us a petite bit maybe specifically about this product, this contract, but besides how achieve you see the chance on the federal plumb and what are you guys doing to probably accelerate that? Without a doubt, I would imagine such a constrict should entice and accelerate the appetite to achieve much more. You pickup the situation Department, you know these guys, they totality talk to each other, you can pickup a august reference here and the sky could potentially breathe the confine here in the federal vertical.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

I certainly hope that you're right, Shaul. So, we're working on that every day. In the meantime, I'll give you some specific details around that. Look, I arbiter public sector, very much fancy the question around partners earlier on the call, this is not something you can revolve on overnight. I mean, this is something we've been working on with a federal team in place, I think, coming over three years now. It's not just at the federal flush but they achieve very well at situation and local. And, again, you see totality sorts of organizations seeing these major imperatives of the journey to the cloud and how they're going to become technology companies.

I arbiter when you arbiter about public sector, and the U.S. situation Department is one sample -- it's a superb one, but it's just one sample -- certainly, the federal fiscal year ends in September, which coincides with their Q3 which is why we're not terribly surprised to see some superb industry from the federal sector as they wrap up their year and they peruse to the year ahead.

But I would highlight that we've been working on a lot of the underpinnings for their platform and to execute it viable and a good, strong, viable, secure, reliable, scalable performance solution for the government agencies for a long time. For example, they fill been HIPAA compliant for quite some time. They are now already FedRAMP Moderate, certified on the platform. And they besides fill native advocate for things live PIV and TAC, which allows the government to employ a lot of their Okta workforce products.

And then, finally, you see a lot of Big initiatives that are happening inside the government. For example, the fill the Modernize Government Technology Act, which establishes funds to improved federal technology. You besides fill the White House, which is pushing this cloud-smart strategy, which anything that can Go to the cloud should Go to the cloud. And I arbiter these are just some of the examples of what you see. And, obviously, we're very fortunate that they can advocate these organizations execute those moves and we're very cheerful with the success we've had.

But, again, I arbiter the chance in the times ahead is very good. Over the last brace of years, you've seen us toil more and more with government agencies, organizations fancy the Department of Justice, the center for Medicare and Medicaid Services, and now the situation Department. So, certainly, we're starting to pickup superb traction. It's vital to execute these customers successful, which they do, but we're very excited about the chance ahead and I arbiter it's, again, very early days and we're excited about what they can possibly achieve in this segment.

Operator

Next, we'll hear from Pat Walravens with JMP Securities.

Patrick Walravens -- JMP Securities -- Analyst

Great. Thank you very much and let me add my congratulations. Hey, Todd, can you walk us through, just sort of at a tall level, the steps that you're taking to execute sure execrable guys don't infringement the Okta network?

Todd McKinnon -- Co-Founder and Chief Executive Officer

Yeah. I mean, it's a Big focus for us. First of all, the main thing that customers -- when customers arbiter about Okta, the main thing that they are trying to resolve for is combining both ease of employ for their terminate users and security for their own applications and services. So, they see Okta as a pass to execute their own technology more secure. And whether it's making sure that accounts are provisioned at the prerogative time, making sure that the prerogative people actually fill access to the prerogative services at the prerogative time, making sure that there's the prerogative amount of authentication, whether it's a single password, whether it's multifactor, whether it's a inescapable policy, totality that makes a tremendous amount of improvement in how things are simple to employ and then how things are secure. And if they're building a customer-facing site or mobile app, you're doing totality of that while, at the same time, increasing their time to value and the productivity of their developers that they fill to disburse and build that thing.

So, obviously, the foundation of totality that is that the Okta service itself is secure. And that's what we've hung their hat on. And by investing a tremendous amount in the basic architecture, the processes and procedures, the technology reviews, the redundancy, it's something that it has to breathe built in from the ground up. It has to breathe consistently followed for years and years and years. It has to breathe portion of the culture. It's something that's very, very arduous to replicate.

And it's not only a technical thing but it's besides a communication thing. And they fill this conversation with customers. And so there's a customer that's learning about us for the first time or whether it's a customer that's expanding their usage with us, we're very superb at talking to them about this in a very open and transparent pass so they can understand what they do. They can understand how they mitigate risk and they can understand why it's benign of arduous to replicate and something that's very valuable to them as they try to transform their technology.

Operator

Next, we'll hear from Gray Powell with Deutsche Bank. Mr. Powell, your line is open. If you are using a speakerphone --

Gray Powell -- Deutsche Bank -- Analyst

Sorry, can you hear me?

Operator

Yes, they can hear you now.

Todd McKinnon -- Co-Founder and Chief Executive Officer

Hey, Gray. loud and clear.

Gray Powell -- Deutsche Bank -- Analyst

All right. Hey. Thanks. Yeah, I'll breathe quick. So, it definitely seems fancy you totality fill seen an uptick in the adoption of MFA this year. Just ballpark, where achieve you arbiter overall industry adoption is or what stage achieve you arbiter it's in? And then how achieve you feel about the growth of the product set over the next 12 months versus the last 12? Thank.

Todd McKinnon -- Co-Founder and Chief Executive Officer

I arbiter Multifactor Authentication is -- the stage it is is that everyone knows it's a superb idea. I arbiter it's silent too arduous to roll out, in general. I arbiter we're trying to execute it easier by making it pre-integrated, by connecting it to their policy engine, by delivering it as a cloud solution. So, we're getting better but I arbiter there's a lot of -- the industry as a total has to budge from "everyone knows it's a superb idea" to having benign of this broadly deployed multifactor connected to a policy engine and we're trying to help.

I arbiter product innovation is critical to us and we're very excited about what's ahead for us in terms of product innovation and releasing unusual capabilities. And we're going to fill -- I encourage everyone to tarry tuned. They fill their customer conference coming up in just three and a half months and we'll fill a ton of announcements there.

Operator

We'll now hear from Jonathan Ho with William Blair.

Jonathan Ho -- William Blair & Co. -- Analyst

Hi. superb afternoon. I just wanted to start out with maybe the international chance and maybe where you see the most chance to leverage investments, as well as maybe how the challenges disagree in the international markets.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Yeah, sure. Hi, Jonathan. Nice to hear from you. cheerful to chat a petite bit about that. I arbiter the first thing is we're very excited about the chance in international and I arbiter that you're starting to see the results talk for themselves. That industry is growing and it's growing fast. I arbiter there's a lot of opportunity, in terms of not only the customer interest for what they achieve but besides in working with a lot of these channel partners because those markets are much more fragmented. Obviously, you fill dozens of countries in Europe. Asia Pacific is the same.

And so to the question about partners that they had earlier, one of the things that we've spent a lot of time on over the last 12-24 months is really making sure that they fill the prerogative confederate programs with the prerogative incentives making it very simple for their partners to adopt their products and advocate deal them in the market. I arbiter you're going to see more and more of that. We've also, historically, made the prerogative investments ahead of time that I arbiter are now demeanor fruit. So, for example, they fill had data centers in Europe where they can sail over data to a second data center in Europe without ever coming to North America. That's a solution that's been out there for quite some time. We're in the process of implementing the same in Asia Pacific to, again, give customers the solace that they can preserve their data in region if they're interested and, again, with very tall levels of control, security, reliability, availability. And I arbiter some of those things are very important.

At the same time, you've besides seen us continue to invest in expansion of their offices. Their office in London has continued to grow over the last four or five years and we've continued to rob on more office space there with opportunity. I mentioned that they opened, formally, their Paris office last week. We've had an office in Sydney for some time and we're continuing to invest there. So, I arbiter the opportunities in international are early. They're exciting, they're big, and they're huge opportunities for us in the years ahead.

Operator

Our final question will Come from Rob Owens with KeyBanc Capital Markets.

Rob Owens -- KeyBanc Capital Markets -- Analyst

In under the gun. I benign of feel fancy now I can rob as long as I want too. superb afternoon, guys.

Todd McKinnon -- Co-Founder and Chief Executive Officer

The floor is yours, Rob, the floor is yours.

Rob Owens -- KeyBanc Capital Markets -- Analyst

I want to drill down a petite bit into the international monetary services win, both on the workforce ID side and the customer ID side. Just, relatively, where are you getting more dollars? Is it on the workforce side or the customer side, as you see some of these guys bite on both sides of the apple?

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Yeah. cheerful to talk about that, Rob. I arbiter one thing they should talk about is what's happening today and then I arbiter they should talk about the trends and what they see happening in the future. Look, today, and as evidenced by their business, they started with workforce identity management. So, we're coming up on wrapping up their tenth year of business, which is great. Their first five years of business, they basically only had a workforce identity management product.

Now, why is that? Well, workforce identity, formerly known as enterprise identity, is something that's well known. It's been in the industry for 20, 25 years. Legacy software vendors, Oracle, IBM, CA, fill had solutions here for the days of homogeneity when you were an IBM shop or an Oracle shop. And so it was a well-understood requisite as they came into the market. So, if you peruse at their first 1,000 customers, totality they could buy, actually, was workforce identity. Now, that's august and that's going to continue to grow and that's a Big market and we're barely scratching the surface and you're going to see more and more workforce identity industry in the years ahead.

What's happened over the last few years is customers fill started to say, "Hey, I built this customer identity management infrastructure myself in the past. It's getting complicated." They talked about examples fancy Marriott. Security is important. Password reset flows, registration across devices, multiple email addresses. These are very complex pieces of technology for companies to build themselves so they've started using solutions fancy what they have, the customer identity and access management in the Okta Identity Cloud. So, it is a newer portion of their business. Right? besides growing very quickly.

But what's exciting is, in the times ahead, if you arbiter about a big organization fancy Dignity Health, which is a customer of ours, they can advocate them with their workforce, obviously, which is tens or maybe hundreds of thousands of employees in inescapable cases. They fill a set of products that are very well-suited. There's a lot of employ cases for them. But on the customer identity side, as they build more and more online, as they digitize more and more of their business, there's more and more constituents that an organization fancy Dignity Health needs to interact with.

For example, they could fill patient portals that you and I Go and pay their bills on. They could fill physician portals, where physicians Come and pickup information on patients. They could fill vendor or supplier portals, where they talk about their supply chain. So, whereas an organization could fill one big workforce chance for us to advocate them with, they could start to develop more and more of these customer identity management opportunities as well. And that's why I arbiter you see that people fill very superb ideas on how big the market is for workforce, which is very large, and they're starting to develop those ideas around customer identity management.

So, that's a long-winded pass of saying, today, customers can land with either workforce or customer identity with either of their five products. They find ways to cross-sell and upsell themselves because of their very tall customer dollar groundwork net retention rate of 120%. But in the times ahead, I arbiter it's a toss-up on which of these two big markets are going to continue to grow faster. A lot of chance and, obviously, they want to breathe there to advocate the customers with either one. It's certainly something that we're going to continue to preserve an eye on in the times ahead.

Operator

That will conclude today's question-and-answer session. I will now revolve the conference over to Todd McKinnon for any additional or closing remarks.

Todd McKinnon -- Co-Founder and Chief Executive Officer

So, they esteem the time today. They are excited about their progress this year but the most exciting thing for us, I think, is that we're silent very early in these Big trends. This trend of cloud adoption, we've been talking about it for a long time but when you peruse at organizations around the world, whether they're big companies, governments, international markets, cloud is a Big transformation that's going to rob many, many years ahead. And we're going to breathe there to advocate customers along the way. same with digital transformation. That's a continuously evolving thing and we're very excited that identity is the core of that and it's going to breathe a growth driver for years ahead. And, finally, security just is timeless. So, while we're excited about the results, we're more excited about the future potential and working arduous every day to execute sure they capitalize on this. So, thank you very much for your time and they peruse forward to seeing you on the road or talking to you on the next quarterly call.

Operator

That will conclude today's conference call. Thank you for your participation. You may now disconnect.

Duration: 67 minutes

Call participants:

Catherine Buan -- Vice President of Investor Relations

Todd McKinnon -- Co-Founder and Chief Executive Officer

Bill Losch -- Chief monetary Officer

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Sterling Auty -- J.P. Morgan -- Analyst

Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

Alex Henderson -- Needham & Company -- Analyst

Richard Davis -- Canaccord Genuity -- Analyst

Heather Bellini -- Goldman Sachs -- Analyst

Shaul Eyal -- Oppenheimer -- Analyst

Patrick Walravens -- JMP Securities -- Analyst

Gray Powell -- Deutsche Bank -- Analyst

Jonathan Ho -- William Blair & Co. -- Analyst

Rob Owens -- KeyBanc Capital Markets -- Analyst

More OKTA analysis

This article is a transcript of this conference call produced for The Motley Fool. While they strive for their ridiculous Best, there may breathe errors, omissions, or inaccuracies in this transcript. As with totality their articles, The Motley Fool does not assume any responsibility for your employ of this content, and they strongly encourage you to achieve your own research, including listening to the call yourself and reading the company's SEC filings. delight see their Terms and Conditions for additional details, including their Obligatory Capitalized Disclaimers of Liability.

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