C9550-413 exam Dumps Source : IBM Operational decision Manager Advanced V8.7 Application Development
Test Code : C9550-413
Test title : IBM Operational decision Manager Advanced V8.7 Application Development
Vendor title : IBM
real questions : 68 actual Questions
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IBM enabled Watson AI to elope across the commercial enterprise information facilities and mainstream public cloud systems. Branded as Watson any place, the flagship records and analytics platform that became initially developed for the IBM Cloud will likewise subsist deployed in a whole lot of environments including VMware, IBM Cloud inner most, AWS, Azure, and Google Cloud structures.
at the believe 2019 conference hosted in San Francisco, Ginni Rometty, IBM’s CEO announced Watson anywhere.
IBM Watson anyplace is developed on precise of Kubernetes, the open supply orchestration engine that can subsist deployed in diverse environments. for the reason that the Watson anyplace platform is constructed as a set of microservices designed to elope on Kubernetes, it is bendy and conveyable.
IBM bets on massive on Kubernetes. As a member of the Cloud endemic Computing basis and a a must-have contributor to the open source venture, it presents Kubernetes as a provider in its public cloud. IBM Cloud inner most, the hybrid cloud platform from huge Blue is exclusively constructed on Kubernetes.
based on IBM, the microservices-based mostly Watson anyplace can provide two options -
Watson OpenScale: IBM's open AI platform for managing diverse circumstances of AI, no depend where they had been developed – together with the skill to clarify how AI decisions are being made in loyal time, for superior transparency and compliance.
Watson Assistant: IBM's AI device for edifice conversational interfaces into applications and devices. more advanced than a commonplace chatbot, Watson helper intelligently determines when to quest a influence, when to request the person for clarification, and when to offload the consumer to a human for private tips. additionally, the Watson helper Discovery Extension allows companies to liberate hidden insights in unstructured facts and documents.
IBM Cloud inner most for records is an extension of the hybrid cloud focused on records and analytics. in response to IBM, it simplifies and unifies how shoppers assemble, order and analyze facts to precipitate up the cost of information science and AI. The multi-cloud platform can provide a huge achieve of core statistics microservices, with the alternative to add greater from a becoming features catalog.
IBM Watson any site is seamlessly integrated with Cloud private for statistics. The amalgam allows consumers to manage conclusion-to-end records workflows to uphold form inevitable that facts is without problems attainable for AI.
almost immediately after the announcement from IBM on Watson anywhere, Pat Gelsinger, VMware’s CEO outlined Watson’s integration with Workspace One, an endpoint administration product that provides start and management of apps across devices. Watson anywhere will develop into attainable inside Workspace ONE clever Hub, a smack of the endpoint administration platform built-in with AirWatch.
With the upcoming acquisition of pink Hat, IBM is expected to wager large on OpenShift, pink Hat’s own enterprise distribution of Kubernetes that runs pretty much in every public cloud.
IBM hopes that the multi-cloud mode of Watson helps the enterprise compete more suitable with its competitors.
Fueling future extend via boosting effectivity and unlocking operational insight
ARMONK, N.Y., Feb. 14, 2019 /PRNewswire/ -- IBM (NYSE: IBM) nowadays announced that Vivo power, a market-leading company that distributes and markets Shell branded fuels and lubricants in Africa, has chosen IBM functions for its digital transformation undergo in keeping with SAP S/4HANA®. A quick birth to the relationship the exercise of agile strategies has already resulted in the completion of a massive job milestone with two out of fifteen of Vivo power's country areas transferred to SAP S/4HANA to uphold boost efficiency and free up operational insights.
Vivo power, a market-leading enterprise that distributes and markets Shell branded fuels and lubricants in Africa, has chosen IBM capabilities for its digital transformation undergo in accordance with SAP S/4HANA® credit score: Vivo powermore
since its institution in 2011, Vivo energy has abruptly grown, including more than 500 carrier stations to its retail community between 2012 and 2017, whereas opening more than 450 convenience retail and quick carrier restaurants between 2014 and 2017. In 2018 the company operated over 1,800 carrier stations and employed round 2,360 americans. it subsist as a result of this speedy boom that Vivo energy needed to form adjustments to its latest IT ambiance and extend its commerce useful resource Planning (ERP) methods.
IBM options beget begun to transform Vivo energy's operations, enabling it to streamline tactics, boost worker productivity and ameliorate data visibility. the usage of the embedded analytics engine of SAP S/4HANA, Vivo power could subsist capable of tune the performance of each and every of its areas to profit pressure decision-making and uphold create an clever commerce that responds actively to customer demand. because the deployment expands to more locations the difficult might subsist in a position to conduct more targeted analytics, empowering employees to form reality-based selections.
Vivo energy's sellers will additionally mediate the merits from the business's new answer. SAP S/4HANA will call claim for particular items and automate replenishment on the provider stations, a first-rate artery to likewise enable the commerce to reduce its gasoline distribution prices.
Mike McCormick, CIO, Vivo energy, observed, "we're concentrated on carrying on with their awesome growth story, and to achieve this, they decided to seriously change their mode to company administration and look to subsist for tactics to permit the finished operational insight that they desired. IBM was the most advantageous accomplice to uphold the implementation, taking the time to regain to grasp their commerce needs in depth."
Keith Costello, global vp and conventional supervisor, SAP international enterprise services chief, IBM, spoke of, "Vivo power become one of the vital first oil and gas corporations of its measurement to deploy the total suite of SAP S/4HANA purposes alongside SAP SuccessFactors solutions, SAP Cloud for client and SAP integrated enterprise Planning in a unique integrated, conclusion-to-end platform. IBM capabilities and Vivo power took an agile strategy to the implementation, with a spotlight on rapidly resolution-making. This strategy on implementation can assist form confident that the enterprise transformation application has a global template for the solution, with minimal endemic customization in each company unit."
using the SAP activate implementation methodology, Vivo energy and IBM chose a 'massive Bang' approach, with dissimilar application add-ons enabled simultaneously. With the SAP S/4HANA solutions currently active in two countries, Vivo energy has plans to roll out the solutions throughout different places by means of the fourth quarter of 2019.
IBM functions carried out SAP S/4HANA, powered by IBM vigor programs servers and IBM Storwize V7000 storage methods, with SAP SuccessFactors solutions, SAP Cloud for customer and SAP integrated company Planning, assisting to create an intellectual commercial enterprise.
About Vivo power
Vivo power is a market-main pan-African gas retailer, working and advertising its products below the Shell brand in countries throughout North, West, East and Southern Africa. In 2018 the commerce had a community of more than 1,800 provider stations in 15 countries and exported lubricants to other African nations.
About IBM services
To subsist trained greater about SAP S/4HANA, tickle contend with: ibm.com/services/sap
SAP, SAP S/4HANA and different SAP products and capabilities mentioned herein as well as their respective trademarks are trademarks or registered logos of SAP SE (or an SAP affiliate business) in Germany and different international locations. total other product and repair names outlined are the trademarks of their respective companies. tickle see http://www.sap.com/trademark for additional trademark tips and notices.
Ken SaundersExternal members of the family, IBM world enterprise Servicessaundken@uk.ibm.com +447887830036
IBM commerce enterprise emblem. (PRNewsfoto/IBM)extra
View usual content to download multimedia:http://www.prnewswire.com/news-releases/ibm-functions-reworking-vivo-power-with-sap-s4hana-300795839.html
this is about the strengths and weaknesses of IBM Blueworks BPM together with a potential option for Blueworks (Tallyfy). tons of it is borrowed from Gartner, with some parts edited and cleaned up.
Please note this disclaimer. I’m affiliated with Tallyfy — a workflow and BPM platform which differentiates through spectacular ease-of-use, client-facing points and suppleness to pressure adoption in concurrent groups.
IBM is enhancing the intelligence of its Smarter manner products by utilizing complementary Watson applied sciences, leading to what it calls Cognitive commerce Operations. It additionally more desirable cloud-based deployments with the aid of enhancements in Blueworks live and a licensing approach that makes it viable for valued clientele to apply buy credits to both on-premises or cloud types of BPM. This review centers on IBM enterprise mode manager v.8.5.6, IBM company process manager on Cloud, Blueworks live, Operational selection manager (ODM) superior v.8.7 and commerce computer screen v.eight.5.6. iBPMS initiatives likewise can likewise encompass IBM Analytical determination management, IBM Bluemix, IBM Streams, IBM FileNet content material supervisor, IBM Integration Bus, IBM MobileFirst Platform and different items.Strengths of IBM Blueworks and IBM BPM
an outstanding option to Blueworks may subsist the capacity to mannequin procedures simply. simply since you beget some large BPMN mannequin doesn’t form you urbane or helpful. in the end, people can/will nevertheless ought to definitely enact the process, which comes down to e-mail/spreadsheets (unless you want a 6-month IT challenge). It’s without problems ridiculous to form exercise of BPMN in today’s age — where americans collaborate and don’t ensue flowcharts anyway. Any selection to Blueworks beget to thoroughly remove using flowcharts and in particular — BPMN. not dote what you’ve heard about BPMN — it’s now not a “ordinary” in any respect — as each and every dealer creates their own flavor of it. This makes the a first-rate deal-touted “standard” and “portability” aspect of it subsequent to not viable to achieve.Tallyfy uses essential lists that nonetheless beget total the points of flowcharts problem — simply IT and manner analysts map approaches. Managers crave precise vigour to map a system themselves
Tallyfy is the simplest tool that allows for collaboration amongst any form of role/person — considering the fact that most people purchase note the simplicity of the tool in 60 seconds. The alternative to Blueworks is not truly an option at all — it’s an inevitable switch.Tallyfy allows anyone to collaborate on documenting a method issue — no person appears at technique maps. You want your approaches to subsist in elementary, executable listing format
This capability you need workflow utility dote Tallyfy that truly provides that simplicity, together with the energy you want.Please — let’s drop flowcharts and BPMN — it’s completely broken and deadaccept as loyal with a sparkling alternative to IBM Blueworks — Tallyfy
It integrates to everything, and it basically works for everyone.
Take a glance at a video demo of Tallyfy under, as a conceivable, person-friendly alternative to Blueworks.
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Feb 07, 2019 (Heraldkeeper via COMTEX) -- Europe software-defined data hub market is witnessing a lofty growth due to the rising claim for online shopping and a rapid growth of the e-commerce business. In 2017, the e-commerce sale accounted for USD 534 billion in the region. Western Europe accounted for around 70% of the online retail turnover. The retail e-commerce sector is witnessing a lofty claim for these solutions to manage the massive data generated including customer details, order information, and other credentials. Moreover, the increasing data hub facilities in countries including the UK, Germany, the Netherlands, and France accounted for a large data traffic, thereby accelerating the software-defined data hub market growth.
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Rapid extend in data hub traffic and the increasing need for hyperscale facilities for storage of such massive data are expected to drive the software-defined data hub market growth. It is estimated that the global data hub traffic will cross 20 zettabytes per year by 2024 and around 80% of the overall cloud workloads will shift to Software as a Service (SaaS). Moreover, global companies are investing extensively in establishing large infrastructure facilities for managing and accessing the data. These companies are expanding their commerce operations globally, thereby driving the claim for edge data hub facilities.
Growing claim for dynamic connectivity and networking in developed economies is providing an break to players in the software-defined data hub market. Several countries including the U.S, Canada, Germany, and France are experiencing lofty adoption rates of such solutions. The tenacious presence of the global companies that depend on efficacious data storage solutions for performing their commerce operations will propel the software-defined data hub market growth.
Moreover, these countries are experiencing a rapid adoption of advanced technologies in several industrial sectors. Such factors are motivating the players to proffer software & services to cater to demands from these global companies. Some of the major software-defined data hub market players operating in these countries are IBM Corporation and VMware, Inc.
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The software-defined data hub market is expected to witness a rapid growth over the coming years with a surge in the claim for the advanced data management solutions for monitoring and ensuring the safety of the enterprise data. These solutions allow the companies to access and manage their data through a secured user portal that utilizes web-based servers to deliver the data effectively. Virtualization and the cloud technology allow discontinuance users to manage, access, and secure their data in an efficacious manner.
The SDS (Software-Defined Storage) segment is witnessing a lofty growth in the software-defined data hub market due to the massive data generation in the IT & telecom sector. Increasing claim for online and computing services is a major factor accountable for such data generation in the sector. The IT companies are installing infrastructure facilities for the storage and manageability of their commerce data. Software-based storage techniques allow companies to save their investments on data hub equipment. Several global organizations are developing programs to promote the adoption of virtualized techniques for data storage.
The software-defined data hub market is witnessing a lofty claim for the managed services with the rapid deployment of the software solutions in large enterprises. The players in the industry are providing several services to their customers to effectively manage and deploy the virtualized data hub environment in their commerce areas. The Managed Service Provider (MSP) remotely manages the company's data management under a subscription model. The players in the software-defined data hub market are likewise offering their services under a Service-Level Agreement (SLA) to develop strategic relationships with the companies.
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Major companies operating in the software-defined data hub market are VMware, Inc., Microsoft Corporation, Oracle Corporation, HP evolution Company, Dell Software, Inc., Huawei Technologies Co., Ltd., L.P., Citrix Systems, Inc., IBM Corporation, Amazon Web Services, Inc., SAP SE, EMC Corporation, Hitachi, Ltd., Fujitsu, Ltd., Citrix Systems, Melillo Consulting, Inc., and Cisco Systems, Inc., among others.
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The Internet of Things (IoT) has evolved from a futuristic commerce buzzword and can now unleash vast potential. With the evolving technology landscape, IoT technology is getting smarter, and therefore, more companies are incorporating AI (like machine learning, profound learning, genetic algorithms, advanced learning) with IoT applications to generate an advanced output.
The rapidly capacity to wring data makes AI more valuable. This has made most of the giant organization excited to pour hefty investments in IoT because AI is confident to bring a sensation in the field IoT.Facts and Figures at Glance
In general, IoT is defined as the network of physical devices capable of sending and receiving data across the Internet. This comprises wearables and mobile devices, medical devices that are connected, smart home appliances, and the sensors.
The connected things can subsist interconnected into an ecosystem in which they interact with one another and with decision agents via the Internet or a private network. However, the actual break for innovation comes when things are intelligently connected when the data is fed into an AI-based algorithm for autonomous decision-making and machine learning.
In order to gain new insights from the interconnected things, applying AI to IoT will ameliorate the relationship allowing cognitive engines for more natural interaction.AI Unleashing IoT Potential
Artificial intelligence technology plays a growing role in IoT applications and deployments. Both investments and acquisitions in startups that merge AI and IoT beget scored higher since a couple of years ago. Major vendors of IoT platform software are exploring prospects to integrate AI capabilities such as machine learning-based analytics.Market Trends
IoT app evolution companies are expecting to present revolutionary services and application in the near future. And, of course, it will subsist among the biggest outcome created merging IoT and AI. Further, most of the standalone businesses will undergo reinvention to become fraction of integrated networks.
According to IBM, the spending on IoT worldwide hit approx $772.5 billion in 2018, a 15 percent extend over 2017. Much of that spending came from enterprises. 66 percent of executives are now comprising IoT into their operating models, according to a recent study by the IBM Institute for commerce Value.
AI plays a crucial role in making IoT applications more advanced and having better deployments. Further, taking into account the investments and acquisitions in startups integrated with AI and IoT, there has been remarkable growth.
Machine learning is an AI technology that takes has capacity and competence to automatically detect patterns and oddities in the data that smart sensors and devices generate, including information such as temperature, pressure, humidity, and the property of air. Generally, when they compare the traditional commerce intelligence tool with machine learning, it was lucid that the operational predictions gained by ML were up to 20 times rapidly with remarkable precision.
Other AI technologies, dote precipitate recognition or computer vision, play a crucial role in interpreting data into a useful piece of information, which is too much for one human to discharge alone.
AI applications for IoT enable companies to avoid unplanned downtime, extend operating efficiency, and enhance risk management.Advantages Manage Costly Unplanned Downtime
For sectors dote manufacturing, oil, gas, and other similar industries, unplanned downtime results in materiel breakdown, which can subsist a costly affair.
Predictive maintenance using analytics prevents materiel failure before downtime, which can subsist utilized to schedule a maintenance procedure. Clearly, this showcases the power of AI and IoT and how they can subsist utilized to restore any damage. Machine learning makes it viable to identify the pattern in the constant stream of data to call materiel failure.
For instance, in their survey, Deloitte organize predictive maintenance very useful to manage the time to map maintenance, i.e. 20-50 percent (this means that the materiel uptime increased the availability by 10-20 percent and reduced overall maintenance costs by 5-10 percent).Increase in Operational Efficiency
It is no doubt that AI-powered IoT is aiding operational efficiency. Similar to machine learning predictions, AI likewise helps in shaping operational conditions and allows us to identify the parameters required to streamline processes. This is done by crunching constant streams of data, which are highly impossible for one, unique human.Improve Products and Services
Upgrading IoT with AI will directly profit to create new products and services. With the advancement of time, natural language processing is getting better with near-constant human-machine interaction.For instance, AI-controlled drones and robots are new opportunities for monitoring and inspection.
Moreover, if they talk about fleet management, it is reinvented via AI. This can monitor every viable data point, which helps to reduce unplanned downtime. For instance, Cloudera claims 40 percent lop downtime for fleet vehicle monitored by their Navistar device.Improvise in Risk Management
Today, they can note a number of useful applications created pairing IoT with AI that profit organizations understand and call a variety of risks, enabling automated and rapid responses dote managing workforce safety, pecuniary losses, etc.Conclusion
There is no denying that the future of IoT will subsist AI. It's likewise expected that, in the near future, it will subsist difficult to find an IoT implementation without AI. The International Data Corp reveals that AI will uphold IoT efforts, and without AI integration, the deployed data will beget “limited value.”
iot ,ai ,artificial intelligence ,data ,machine learning ,smart data ,algorithms ,risk management
Twice a year, I physiognomy a dilemma.
Presented with hundreds of nominated speakers and topics for an upcoming MarTech® conference, I beget to select only a few dozen to appropriate into a two-day, three-track event.
It’s a jam for a couple of reasons.
First, the vast majority of pitches they regain from martech practitioners and experts are really good. Having to turn down most of them, simply due to the limits of time and space, kills me. I’m so grateful to everyone who sends in proposals, and I’m sorry they can’t accommodate you all. Believe me, I wish they could.
But there’s a bigger challenge: how can I best serve you as a MarTech attendee?
Martech is such an expansive and diverse field that it’s impossible to cover total of it. Especially because they don’t mediate of martech as merely a collection of tools and technologies. That is massive enough on its own. But they mediate of martech more holistically as a new discipline, the innovation of marketing, technology, and management combined.
That’s a pretty wide lens. So out of total the viable topics and case studies they could cover, how enact they select only a subset of them to form MarTech most valuable to you?
Do they vanish broad and scan everything at a 50,000-foot level? Or enact they pick one or two concepts and dive profound on them? Focus on B2B or B2C? Program for senior executives or hands-on marketing operations managers? Those starting digital transformation or those far along the journey? vast enterprises or petite start-ups?
That’s a lot of either/or divisions.
The easiest thing to do, from a conference positioning point of view, would subsist to narrow down to a specific martech category and a specific audience segment. In fact, there are a ton of remarkable conferences that enact just that. For instance, Third Door Media, the producers of MarTech, likewise elope the SMX Advanced interpret that’s focused on expert-level techniques for SEO and paid search marketing.
But I mediate there’s a powerful need for something different.Mr. MarTech, tear Down These Walls
I’ve near to believe that two of the biggest barriers to growth in a rapidly changing marketing environment are siloed specialization and erroneous dichotomies.
Specialization is good, but comes with an increased risk of tunnel vision. You can pay so much attention to what’s happening in one narrow slice of marketing, studying only strategies and tactics that are analogous to yours, that you miss disruptions coming at you from completely different angles.
The veracity is that the biggest challenge in modern marketing isn’t mastering search engine optimization, analytics, personalization, or any one tactic. The difficult challenge is connecting total of those pieces together into a cohesive whole. It’s seeing the forest for the trees.
False dichotomies can subsist just as blinding. Centralize or decentralize. Automate or humanize. Suite or best-of-breed. Software or services. Build or buy.
I’ve railed against these either/or choices in numerous articles on the new rules of marketing technology and operations, the compatibility of strategy and agile marketing, the simultaneous expansion and consolidation of martech, and the three trends driving the Second Golden Age of Martech.
Because most of the time, these black-or-white, either/or choices are wrong. They’re called erroneous dichotomies — erroneous choices — because, well, they’re false. It’s not only that there’s an entire spectrum of colorful possibilities between the two opposite poles, although that’s true. It’s that in many cases you can actually achieve both/and simultaneously. The two ends can subsist connected together to unleash incredible innovation.
One of my main objectives with MarTech is to profit attendees bust out of such siloed segments and fracture through such ersatz either/or barriers. To accomplish that, we’ve adopted several guiding principles with the conference program:
Every presentation shares strands of DNA for the intersection of marketing, technology, and management. But the expression of that DNA is wildly diverse from session to session. That diversity — and the combinatorial innovation it ignites — is one of the things that makes MarTech special.What You Can await at MarTech, April 3-5 in San Jose
The upcoming MarTech conference in the Bay Area, April 3-5, will deliver on the promise of an in-depth, vendor-agnostic, BS-free program that will profit you better lead marketing technology and operations at your own company.
You’ll hear first-hand accounts of martech innovation from leaders at Aetna, Autodesk, Cisco Meraki, Docker, Epsilon, Freshly, Fuze, IDC, LinkedIn, Livongo, LogMeIn, Netflix, The new York Times, Nordstrom, NPR, Plantronics, PwC, Riverbed Technology, Sub-Zero, Zendesk, Zillow, and more.
Here’s an overview of what you can expect…
Keynotes: Framing the vast Picture
I’ll open with a keynote revealing the 2019 marketing technology landscape in collaboration with Jeff Eckman of Blue Green, the latest martech salary survey results, and a framework for the evolution of marketing operations and technology heading into 2020.
We’ll ensue with a fireside chat with the remarkable Ann Lewnes, CMO of Adobe, discussing the equilibrium of creative and analytics, the interplay of technology and talent, ways in which marketing organizations are evolving structurally, and the trends in the industry that inspire her most.
That afternoon, we’ll beget back-to-back keynotes from two martech pioneers: Mayur Gupta, the CMO of Freshly, and Terence Kawaja, the CEO of LUMA Partners. Terence will talk about the disruptive innovation of direct-to-consumer (D2C) brands, how they’re harnessing marketing technology to beat incumbent brands, and what marketers across total markets can learn from them. Mayur will partake lessons from his career journey, rising from a marketing engineer to a CMO, spanning travail at Sapient, Kimberly-Clark, Healthgrades, Spotify and now the D2C brand Freshly.
The next morning will initiate with Shauna Shapiro, a professor at Santa Clara University and a world-renowned expert on mindfulness. Co-author of the recent Harvard commerce Review article How Mindfulness Can profit Engineers resolve Problems, she’ll contend mindfulness for innovation and change management.
Talk about unexpectedly connecting dots: yes, it’s martech and mindfulness.
Matthew Lieberman, CMO of PwC, will present on marketing enablement and empowerment, sharing the account of how his organization underwent its own digital transformation — with an empowered marketing team leading the way. Kathleen Schaub, leader of the CMO and customer undergo practices at IDC, will proffer her insights into guided decentralization: safely scaling customer-facing empowerment.
Tom Fishburne, the brilliant marketer-turned-cartoonist Marketoonist, will deliver the closing keynote for the conference that afternoon, with an interactive presentation of Look! Squirrel! Beyond the Shiny new Thing to Sustained Organizational Change. Aside from guaranteed laughs, Tom will profit form the ideas you purchase back from your MarTech undergo actionable.Marketing Track: Real-World, Vendor-Independent Case Studies
Meg Goldthwaite, CMO of NPR, will interpret how voice-driven AI technologies are changing behavior – and what that means, not only for businesses and marketers, but for society as a whole — in The new Era of V-Commerce: What Marketers need to Know about Alexa, Siri and the AI Revolution.
Debbie Qaqish, Chief Strategy Officer at The Pedowitz Group, will address the challenges of Combining Marketing Operations and Sales Operations for Customer Magic. She’ll examine the pros and cons of a variety of organizational models while likewise learning how to best manage both musty and new martech and salestech stacks and data.
Marketing technology legend Brian Kardon, CMO at Fuze, will partake his real-world undergo in leveraging AI across his own marketing organization in NextGen Marketing: How ersatz Intelligence Is Accelerating Marketing Performance. He’ll acknowledge these questions about harnessing AI in your martech stack:
Subbu Iyer, CMO of Riverbed Technology, will contend how he’s brought focus to implementing martech solutions for digital transformation, streamlining operations, improving lead generation, and optimizing channels with a talk on The remedy for Shiny expostulate Syndrome: Human-Centered Digital Strategies. Subbu’s high-level recommendation includes:
Cyndi Marty of Sub-Zero and Alexandre Pelletier of Perkuto will jointly present What’s Cookin’ in subject Technology: Sub-Zero’s Journey Toward Decentralized Marketing. Cyndi has been leading a year-long project to transform from a centralized marketing model to a hybrid approach that takes advantage of decentralizing crusade marketing capabilities. She’ll picture her decision to form the transition, partake challenges (both technological and organizational) they overcame, and provide insights into the ROI of the transition for the company and its sales network.
With devices dote Amazon Alexa and Google Home’s voice-enabled options, consumers are relying more and more on browserless interactions. Now is the time to rethink how you achieve and engage your customers in this emerging environment. Tricia DelGaudio, Strategy Director at Epsilon, will further interpret new technology-powered strategies for Marketing in the Age of Assistants.
Shiva Mirhosseini, VP Marketing Technology and Digital undergo at Aetna, will immediate this track with a session on Reimagining Customer Communications — unifying print and digital touchpoint. She’ll partake insights from the project she’s led for this at Aetna, including how to:
Siara Nazir, Head of Digital Marketing at Autodesk, will dig into The Data Dimension of Digital Transformation: How Autodesk Instrumented Its Customer Journey. She’ll picture how they leveraged a CDP to unify and centralize data — and then turned the learnings from it into a better omni-channel strategy.
Mike Pow, Senior Product Manager of Experimentation Platform at Netflix, will reveal in Quasi Experimentation at Netflix how they deploy experiments in which the units of randomization are not people, cookies, or members, but geographical units or time. This experiment design enables Netflix to learn about topics for which a traditional A/B test would subsist infeasible or impractical. The company is simultaneously edifice the scientific methodology and platform to maximize the learnings from each experiment, doing it at scale and company-wide.
The one-and-only David Raab, founder of The CDP Institute, will deliver an in-depth session on Customer Data Management 2020 — what you need to know for managing your data this year and next:
Sheryl Schultz, COO of CabinetM, will lead a session with Justin Sharaf, Director of Marketing Operations at LogMeIn, and Zack Alves, Senior Manager of Marketing Technology and Operations at Plantronics, on When Stacks Collide: Rationalizing the Marketing Stack in a Merger & Acquisition Environment. When M&A happens, you’ll learn about:
Isabelle Hierholtz, User Strategy Director at Digi-Capital, one of the world’s leading AR/VR analyst and consulting firms, will present on Marketing ROI Growth Using Mobile AR. Isabelle will interpret how mobile AR has been used to drive 11x sales uplifts in lifestyle ecommerce, design mobile AR first retail experiences, revolutionize the shoe buying experience, and gain additional vast box retailer facings and grow sales across the US, China, and Europe.
Jason Mestrits, Senior Manager Data Science & Analytics at Nordstrom, will partake how leading marketing organizations are winning with a focus on data enablement, customer analytics and AI-driven innovations with Marketing Data Science and Your Data Strategy. You’ll gain insights on how creating a comprehensive data strategy enables your marketing function to enact more, focus on driving meaningful competitive advantages, and avoid missed opportunities.
Aaron Wroblewski, AI Software Engineering Manager at Zillow, will present a case study of Personalizing User Experiences: Beyond A/B Testing. He’ll partake the commerce case for a system to dynamically select personalized marketing content and calls to action for each customer. Aaron will likewise identify potential pitfalls dote user behavior changes and data and featurization issues, while likewise describing the tests, metrics, and solutions that helped Zillow overcome them. Management Track: At the Crossroads of Talent & Technology
Jennifer Brett, Head of Americas Insights at LinkedIn, will present Measure What Matters: Data Strategy to Drive Results, explaining how to vanish beyond clicks and tryst metrics to more meaningful measures of success, such as lead property and closed business.
Pamela Della Motta, Director of Product for Marketing Technology, and Kristian Kristensen, VP for Engineering, for The new York Times will give a talk on Applying Product Management to Martech at The new York Times. Learn how they adopted a product management approach to martech as fraction of their company-wide transformation into a subscription-first digital product company. You’ll explore the benefits and challenges of a product management model that you can accommodate to your organization, including:
Rachel Beck, Global Manager of Marketing Ops at Cisco Meraki, will interpret how they created a marketing ops function at a fast-growing company in only 12 months with Year One: edifice a Marketing Ops Team From the Ground Up.
Alana Hill, Manager of Marketing Applications in IT at Zendesk, will partake her recommendation on managing martech tool proliferation with Don’t subsist a Packrat: Tips to immaculate House and Manage Your Martech Stack More Efficiently. She’ll explain:
Chris Borkenhagen, CIO, Brian Donaldson, Manager of evolution Engineering, and Kelly Horton, Senior Engineer of Marketing Technologies, from Docker will picture how to Maximize Efficiency and Scalability with the birthright Team Structure, Data and Stack. In 2017, Docker made a decision to restructure its marketing technologies team and stack in a non-traditional way. It moved total technical roles for marketing and sales technology into IT, improving cross-functional communication, alignment and efficiency. You’ll learn:
Patty Spiller, Senior Director of Growth Marketing at Livongo, will partake The Secrets to a lofty Performing Martech Team — methods to turn your remarkable ideas into remarkable team achievements, including:
Want an even deeper dive into marketing technology management? mark up for one of the half-day workshops happening Wednesday, April 3, each led by loyal experts in their field:
Sponsored Presentations & the learn MarTech Theater
But wait, there’s more…
In addition to the editorial program for total Access attendees, there’s an incredible set of sponsored sessions and learn MarTech theater presentations you can attend with a FREE Expo+ pass! Leading martech vendors Oracle, IBM, Demandbase, Dataroma, SurveyMonkey, Workfront, Acquia, Allocadia, Sitecore, ON24, Blueshift, Pitney Bowes, Magnolia, Merkle, Tealium, Percolate, VanillaSoft, Brightcove, Yes Marketing, Arm Treasure Data, Brandcast, Scaled Inference, Akkroo, and more will tackle crucial martech topics, including…
Tony Byrne, the founder of research and advisory difficult actual account Group, will likewise host recurring learn MarTech Theater presentations on The new Omni-Channel Stack, The birthright artery to Buy Marketing Technology, Myths Vendors Tell, and regain the birthright Vendor Short List.
You’ll likewise subsist able to meet with dozens of other martech vendors exhibiting in the Expo Hall.Reserve Your Tickets Now: Prices vanish Up March 2
If you’re looking to achieve the best results from marketing technology in your organization, as a marketing technologist, a marketing operations leader, a marketing executive, or the champion driving digital transformation, this is an event you won’t want to miss.
Our Beta rates discontinuance on Saturday, March 2. Reserve your seat now. I’m looking forward to seeing you in April!
P.S. regain a sneak peek at the kinds of insights you can await at MarTech by joining me Thursday, February 28 at 1:00PM EST for a free webinar: 2019 Martech Trends You need To Know. Secure your spot today!
Opinions expressed in this article are those of the guest author and not necessarily Marketing Land. Staff authors are listed here.About The Author Scott Brinker is the conference chair of the MarTech® Conference, a vendor-agnostic marketing technology conference and trade interpret string produced by MarTech Today's parent company, Third Door Media. The MarTech event grew out of Brinker's blog, chiefmartec.com, which has chronicled the surge of marketing technology and its changing marketing strategy, management and culture since 2008. In addition to his travail on MarTech, Scott serves as the VP platform ecosystem at HubSpot. Previously, he was the co-founder and CTO of ion interactive.
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