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IBM IBM Cognos Real-time Monitoring

IBM Helps businesses monitor Their worker's' defense with Watson IoT | killexams.com existent Questions and Pass4sure dumps

IBM Works with Garmin, Guardhat, Mitsufuji and SmartCone to identify talents risks within the workplace

SAN FRANCISCO, Feb. 13, 2019 /PRNewswire/ -- IBM suppose -- IBM (NYSE: IBM) these days announced most famous collaborations with Garmin fitness, Guardhat, Mitsufuji and SmartCone to monitor worker security in hazardous environments, including these working in construction, mining and factories, the usage of IoT technologies, built-in into wearables. IBM's Maximo worker Insights will pomp screen biometric and environmental information to encourage determine whether personnel are experiencing hazards or chance. facts will subsist gathered in proximate true-time from wearables, sane devices and environmental sensors to encourage groups quickly reply to problems or react to changing environmental circumstances.

View photographs

today IBM announced collaborations with Garmin, Guardhat, Mitsufuji and SmartCone to encourage organizations pomp screen their employees’ security with Watson IoT. supply: IBM

greater

personnel working in unexpectedly changing environments pan shifting circumstances, even if on the factory ground, on the forklift, atop a phone tower or drilling into the earth. using IoT to understand what worker's are doing in the context of the dynamic ambiance round them – including warmth, peak, weather and gasoline stages – permits businesses to invoke near actual-time and prescriptive defense practices to aid protect the wellbeing of employees and which should encourage them preserve lower coverage costs. 

For personnel, this unique providing displays capabilities environmental threats to their security and safety as they travail on the entrance traces.  For employers, the retort is designed to support them establish and reply to skills hazards with the intent to hold their workforce secure. Nonfatal Place of travail injuries account for near $60 billion in employees' compensation fees within the U.S. although security controls and personal defensive device are obligatory in most hazardous jobs, this retort is designed to support agencies to determine and respond to issues or react to changing environmental situations. in fact, based on the Bureau of Labor records, just about three million nonfatal occupational injuries were recorded in 2017.

"worker safety is a faultfinding priority for entire businesses and this collaboration is an famous milestone in dramatically enhancing the manner enterprises identify and regain rid of hazards in the Place of work," said Kareem Yusuf Ph.D., time-honored manager, IBM Watson IoT. "we're extremely joyful to travail with Garmin, Guardhat, Mitsufuji and SmartCone, and leverage their respective management and commitment to assist improve protection within the office," continued Dr. Yusuf.

"Garmin fitness is worked up to travail with IBM Watson to modernize employee safeguard," talked about Travis Johnson, international Product Lead, Garmin fitness. "Combining the potent analytic capabilities of the IBM Watson IoT retort with the superb sensor statistics and lengthy battery life of Garmin devices creates an excellent solution for remotely monitoring worker's with minimal user burden."

"The implementation of sensible defensive equipment permits us to more suitable analyze Place of travail records and provide essential safeguard insights in proximate actual-time," said Saikat Dey, Guardhat Co-Founder and CEO. "by route of working with IBM, they are capable of leverage Maximo employee Insights to deliver sensible defense to scale within the development, manufacturing and refining industries."

"IBM Maximo worker Insights offers the near precise-time perception that their customers need to tackle the security of their workers," talked about Ayumu Mitera, CEO, Mitsufuji. "we are excited to travail with each IBM and their valued clientele to increase the hamon solution additional. They behold IBM as a useful member of their crew, now not handiest offering efficient internet of issues applied sciences, however furthermore assisting us establish unique market alternatives entire over."

Story continues

"we are extremely joyful to travail with a global chief similar to IBM and combine IBM Maximo employee insight technology into their platform," pointed out Tenille Houston, VP Communications and advertising, SmartCone. "With the ever-evolving office, SmartCones' finished end-to-conclusion retort combined with IBM's IoT know-how and superior analytics offers the optimal pairing to gold standard meet trade needs."

Garmin health companion SDKGarmin, a world leader in wearable know-how, is teaming up with IBM to offer organizations who installation the IBM Maximo employee Insights platform to regain hold of indicators according to proximate actual-time sensor data from workers donning Garmin undertaking trackers. by using embedding the Garmin health accomplice SDK within the IBM Maximo employee Insights platform, supervisors and safeguard officers can receive proximate true-time notifications for top coronary heart expense and man down situations, as well as assessment ancient analytics based on the biometric alerts from Garmin wearables.

Guardhat and its smart difficult hatsGuardhat's KYRA IoT platform integrates and complements the IBM employee Insights solution to provide proximate precise-time situational attention to laborers and company operations through the expend of smart PPE wearables. corporations can gain deeper knowing of the container condition and heave recognition within the organization, to examine surest practices and strategies for haphazard mitigation thereby managing or keeping lower assurance charges.

Mitsufuji and its hamon® wearable shirtMitsufuji, a wearable platformer in Japan, has launched a unique wearable "shirt" referred to as hamon® to music IoT sensor facts from employee's biometrics to encourage subsist positive protection and productivity in intense environments. The hamon® shirt, crafted from silver conductive fibers, collects a wearer's biometric records, together with heart fee, corpse temperature and location, as well as environmental records equivalent to humidity, temperature, racket and toxic gasoline levels, along with using IBM Maximo employee Insights. with the aid of connecting to the IBM Maximo employee Insights solution on the IBM Cloud, this information can furthermore subsist analyzed in proximate precise-time, with alerts and alarms signaled on cellular instruments to elect a break, exchange areas, and so forth., before overexertion or damage occur.

SmartCone and its incredibly transportable systemSmartCone, a issuer of sensible, IoT-based security and monitoring solutions for securing prone and hazardous zones, gigantic and small, is working with IBM and integrating Maximo worker Insights into its particularly transportable device to video pomp employee protection within the utilities industry, community site visitors, development, mining and industrial environments with poignant or substandard no-go zones. applying multi-sensors, audio/video, communication capabilities, computing and belt gateway capabilities, TheSmartCone™ gadget combines with IBM Maximo employee Insights to deliver supervisors and safety officers with near precise-time notification and brokendown analytics on risks related to falls, "man-downs," no-go zones, extreme temperatures and more. 

About IBM suppose  At account 2019, IBM will define unique choices, client engagements, partnerships, know-how breakthroughs and developer tools that underscore how IBM and partners are altering the route the belt works.  For greater counsel, visit the IBM believe 2019 Newsroom: https://newsroom.ibm.com/think. comply with the convention on Twitter at #think2019 and @ibmlive, and roam to https://www.ibm.com/pursuits/suppose/ for the total schedule and are living streaming agenda.

 

 

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Guardhat, this is no common tough hat

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hamon®-the incredibly connective AGposs fiber collects biometric information from the wearer.

extra

View pictures

CEO, Jason Lee, shows simply how moveable theSmartCone™ can furthermore be. (photo through designate Holleron)

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View photographs

IBM enterprise brand. (PRNewsfoto/IBM)

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View original content material to down load multimedia:http://www.prnewswire.com/news-releases/ibm-helps-organizations-display screen-their-people-defense-with-watson-iot-300794986.html


IBM collaborating on employee safeguard Monitoring in Hazardous Environments | killexams.com existent Questions and Pass4sure dumps

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IBM announced major collaborations with Garmin health, Guardhat, Mitsufuji and SmartCone to pomp screen worker security in hazardous environments, including these working in development, mining and factories, the expend of IoT technologies, integrated into wearables. IBM's Maximo employee Insights will video pomp biometric and environmental facts to aid establish even if employees are experiencing risks or possibility. facts will subsist gathered in near real-time from wearables, sane instruments and environmental sensors to support organizations privilege away respond to complications or react to altering environmental circumstances.

IB Mpressrelease Feb2019Garminpeople donning Garmin recreation trackers will expend IBM Maximo employee Insights platform sending proximate actual-time notifications for prime heart rate and man down eventualities.IBMEmployees working in unexpectedly changing environments pan poignant circumstances, even if on the manufacturing facility floor, on the forklift, atop a phone tower or drilling into the earth. using IoT to account what people are doing in the context of the dynamic atmosphere round them — including heat, top, climate and fuel tiers — allows companies to retain in force proximate precise-time and prescriptive security practices to aid give protection to the smartly-being of worker's and which should assist them preserve reduce coverage costs.

For employees, this unique providing monitors expertise environmental threats to their safety and protection as they travail on the entrance lines. For employers, the solution is designed to assist them identify and reply to abilities hazards with the intent to maintain their workforce safe. however protection controls and private protecting gadget are obligatory in most hazardous jobs, this solution is designed to support organizations to determine and respond to issues or react to altering environmental situations.

"worker defense is a vital priority for entire organisations and this collaboration is a capacious milestone in dramatically improving the manner corporations establish and regain rid of dangers within the office," mentioned Kareem Yusuf Ph.D., established supervisor, IBM Watson IoT. "we are overjoyed to travail with Garmin, Guardhat, Mitsufuji and SmartCone, and leverage their respective management and dedication to assist enhance safety in the Place of work," continued Dr. Yusuf.

Ibmpressrelease Feb2019guardhatGuardhat's KYRA IoT platform and IBM employee Insights will supply proximate actual-time situational focus to employees.IBM

"Garmin health is worked up to travail with IBM Watson to modernize worker security," observed Travis Johnson, global Product Lead, Garmin fitness. "Combining the powerful analytic capabilities of the IBM Watson IoT retort with the extremely top-notch sensor facts and lengthy battery lifetime of Garmin contraptions creates an excellent solution for remotely monitoring workers with minimal person burden."

"The implementation of sane protective gadget allows for us to enhanced analyze office facts and supply famous safety insights in proximate true-time," pointed out Saikat Dey, Guardhat Co-Founder and CEO. "by using working with IBM, they are in a position to leverage Maximo worker Insights to convey sane security to scale in the construction, manufacturing and refining industries."

"IBM Maximo employee Insights can provide the proximate true-time perception that their customers deserve to ply the safeguard of their laborers," spoke of Ayumu Mitera, CEO, Mitsufuji. "we are excited to travail with both IBM and their purchasers to enhance the hamon retort additional. They behold IBM as a valuable member of their group, no longer best featuring efficient internet of issues technologies, however furthermore helping us establish unique market opportunities entire over."

Ibmpressrelease Feb2019mitsufujiMitsufuji hamon wearable shirt tracks IoT sensor facts from employee's biometrics.IBM"we're overjoyed to travail with a global chief similar to IBM and combine IBM Maximo worker perception expertise into their platform," referred to Tenille Houston, VP Communications and marketing, SmartCone. "With the ever-evolving Place of work, SmartCones' comprehensive end-to-end retort combined with IBM's IoT expertise and advanced analytics offers the top of the line pairing to greatest meet trade wants."

Garmin fitness companion SDK Garmin, a worldwide chief in wearable know-how, is teaming up with IBM to present organizations who install the IBM Maximo worker Insights platform to acquire signals according to near real-time sensor data from workers donning Garmin activity trackers. by means of embedding the Garmin health associate SDK in the IBM Maximo employee Insights platform, supervisors and safety officers can receive near true-time notifications for tall coronary heart rate and man down eventualities, as well as assessment ancient analytics in accordance with the biometric signals from Garmin wearables.

Guardhat and its sensible difficult hats Guardhat's KYRA IoT platform integrates and enhances the IBM employee Insights solution to provide near real-time situational awareness to employees and company operations through the expend of sane PPE wearables. corporations can profit deeper knowing of the container situation and heave awareness in the firm, to verify most efficient practices and techniques for risk mitigation thereby managing or keeping abate coverage charges.

Mitsufuji and its hamon wearable shirt Mitsufuji, a wearable platformer in Japan, has launched a brand unique wearable "shirt" referred to as hamon to tune IoT sensor statistics from employee's biometrics to aid ensure protection and productiveness in intense environments. The hamon shirt, made from silver conductive fibers, collects a wearer's biometric data, including coronary heart expense, corpse temperature and placement, in addition to environmental records comparable to humidity, temperature, racket and virulent gasoline degrees, at the side of the expend of IBM Maximo worker Insights. with the aid of connecting to the IBM Maximo worker Insights solution on the IBM Cloud, this facts will furthermore subsist analyzed in near actual-time, with alerts and alarms signaled on mobile contraptions to elect a break, alternate areas, and many others., earlier than overexertion or harm occur.

Ibmpressrelease Feb2019smartconeSmartCone is integrating IBM Maximo employee Insights into its portable device to monitor employee protection in building, mining, utilities, industrial and group traffic environments.IBM

SmartCone and its tremendously transportable gadget SmartCone, a issuer of sensible, IoT-based defense and monitoring solutions for securing susceptible and uncertain zones, great and small, is working with IBM and integrating Maximo employee Insights into its enormously portable equipment to computer screen employee security in the utilities industry, group traffic, construction, mining and industrial environments with poignant or uncertain no-go zones. employing multi-sensors, audio/video, conversation capabilities, computing and side gateway capabilities, TheSmartCone™ equipment combines with IBM Maximo worker Insights to give supervisors and protection officers with near actual-time notification and brokendown analytics on risks concerning falls, "man-downs," no-go zones, extreme temperatures and extra.


IBM publicizes partnerships to video pomp worker security | killexams.com existent Questions and Pass4sure dumps

Yellow difficult safety helmet hat for safety project of workman as engineer or worker

Visoot Uthairam | second | Getty photos

IBM has announced "important collaborations" with SmartCone, Guardhat, Garmin health and Mitsufuji so that it will support to video pomp the security of employees in hazardous environments.

The collaborations will expend cyber web of issues (IOT) technologies that possess been built-in into wearables, the tech tremendous referred to in an announcement Wednesday. workers in sectors together with factories, structure and mining will expend the expertise, IBM delivered.

The business's know-how should subsist used to investigate environmental and biometric records to assist verify if worker's are exposed to hazard or possibility. sane contraptions, wearables and environmental sensors may subsist used to compile the information in near real-time. "employee safety is a faultfinding priority for entire corporations and this collaboration is a major milestone in dramatically improving the route firms identify and liquidate dangers in the Place of work," Kareem Yusuf, universal manager at IBM Watson IoT, mentioned in a statement. As know-how develops, a few industries and agencies are the usage of it to try and boost the safeguard of employees in the office.

Mining great BHP, for example, is the expend of every petite thing from self reliant drills at iron ore mines to trialing "sensible caps" that analyze brain waves and computer screen worker fatigue.

Of the unique collaboration with IBM, Garmin health's international Product Lead, Travis Johnson, spoke of that the aggregate of "the potent analytic capabilities of the IBM Watson IoT retort with the top notch sensor data and long battery lifetime of Garmin gadgets creates a very top-notch retort for remotely monitoring laborers with minimal consumer burden."

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IBM Cognos Real-time Monitoring Developer

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IBM Helps Organizations Monitor Their Workers' Safety with Watson IoT | killexams.com existent questions and Pass4sure dumps

IBM Works with Garmin, Guardhat, Mitsufuji and SmartCone to Identify Potential Hazards in the Workplace

SAN FRANCISCO, Feb. 13, 2019 /PRNewswire/ -- IBM Think -- IBM (NYSE: IBM) today announced major collaborations with Garmin Health, Guardhat, Mitsufuji and SmartCone to monitor worker safety in hazardous environments, including those working in construction, mining and factories, using IoT technologies, integrated into wearables. IBM's Maximo Worker Insights will monitor biometric and environmental data to encourage identify whether employees are experiencing dangers or risk. Data will subsist gathered in near real-time from wearables, smart devices and environmental sensors to encourage organizations quickly respond to problems or react to changing environmental conditions.

View photos

Today IBM announced collaborations with Garmin, Guardhat, Mitsufuji and SmartCone to encourage organizations monitor their workers’ safety with Watson IoT. Source: IBM

More

Employees working in rapidly changing environments pan shifting conditions, whether on the factory floor, on the forklift, atop a cell tower or drilling into the earth. Utilizing IoT to understand what workers are doing in the context of the dynamic environment around them – including heat, height, weather and gas levels – allows organizations to implement near real-time and prescriptive safety practices to encourage protect the wellbeing of workers and which should encourage them maintain lower insurance costs. 

For employees, this unique offering monitors potential environmental threats to their safety and security as they travail on the front lines.  For employers, the solution is designed to encourage them identify and respond to potential hazards in an pains to maintain their workforce safe. Nonfatal workplace injuries account for proximate to $60 billion in workers' compensation costs in the U.S. Although safety controls and personal protective equipment are mandatory in most hazardous jobs, this solution is designed to encourage companies to identify and respond to problems or react to changing environmental conditions. In fact, according to the Bureau of Labor Statistics, nearly 3 million nonfatal occupational injuries were recorded in 2017.

"Worker safety is a faultfinding priority for entire enterprises and this collaboration is a major milestone in dramatically improving the route enterprises identify and liquidate hazards in the workplace," said Kareem Yusuf Ph.D., general manager, IBM Watson IoT. "We are thrilled to travail with Garmin, Guardhat, Mitsufuji and SmartCone, and leverage their respective leadership and commitment to encourage improve safety in the workplace," continued Dr. Yusuf.

"Garmin Health is excited to travail with IBM Watson to modernize worker safety," said Travis Johnson, Global Product Lead, Garmin Health. "Combining the powerful analytic capabilities of the IBM Watson IoT solution with the high-quality sensor data and long battery life of Garmin devices creates a grand solution for remotely monitoring workers with minimal user burden."

"The implementation of smart protective equipment allows us to better analyze workplace data and provide famous safety insights in near real-time," said Saikat Dey, Guardhat Co-Founder and CEO. "By working with IBM, they are able to leverage Maximo Worker Insights to bring smart safety to scale in the construction, manufacturing and refining industries."

"IBM Maximo Worker Insights delivers the near real-time insight that their clients need to address the safety of their workers," said Ayumu Mitera, CEO, Mitsufuji. "We are excited to travail with both IBM and their clients to develop the hamon solution further. They behold IBM as a valuable member of their team, not only providing powerful Internet of Things technologies, but furthermore helping us identify unique market opportunities around the world."

Story continues

"We are thrilled to travail with a global leader such as IBM and integrate IBM Maximo Worker Insight technology into their platform," said Tenille Houston, VP Communications and Marketing, SmartCone. "With the ever-evolving workplace, SmartCones' comprehensive end-to-end solution combined with IBM's IoT technology and advanced analytics provides the optimal pairing to best meet industry needs."

Garmin Health Companion SDKGarmin, a global leader in wearable technology, is teaming up with IBM to offer organizations who deploy the IBM Maximo Worker Insights platform to receive alerts based on near real-time sensor data from workers wearing Garmin activity trackers. By embedding the Garmin Health Companion SDK in the IBM Maximo Worker Insights platform, supervisors and safety officers can receive near real-time notifications for tall heart rate and man down scenarios, as well as review historical analytics based on the biometric signals from Garmin wearables.

Guardhat and its smart difficult hatsGuardhat's KYRA IoT platform integrates and complements the IBM Worker Insights solution to provide near real-time situational awareness to workers and company operations through the expend of Smart PPE wearables. Companies can gain deeper understanding of the domain situation and raise awareness in the organization, to determine best practices and methods for risk mitigation thereby managing or maintaining lower insurance costs.

Mitsufuji and its hamon® wearable shirtMitsufuji, a wearable platformer in Japan, has launched a unique wearable "shirt" called hamon® to track IoT sensor data from worker's biometrics to encourage ensure safety and productivity in extreme environments. The hamon® shirt, made from silver conductive fibers, collects a wearer's biometric data, including heart rate, corpse temperature and location, as well as environmental data such as humidity, temperature, racket and toxic gas levels, together with the expend of IBM Maximo Worker Insights. By connecting to the IBM Maximo Worker Insights solution on the IBM Cloud, this data can subsist analyzed in near real-time, with alerts and alarms signaled on mobile devices to elect a break, change locations, etc., before overexertion or injury occur.

SmartCone and its highly portable systemSmartCone, a provider of smart, IoT-based safety and monitoring solutions for securing vulnerable and hazardous zones, great and small, is working with IBM and integrating Maximo Worker Insights into its highly portable system to monitor worker safety in the utilities industry, community traffic, construction, mining and industrial environments with poignant or uncertain no-go zones. Utilizing multi-sensors, audio/video, communication capabilities, computing and edge gateway capabilities, TheSmartCone™ system combines with IBM Maximo Worker Insights to provide supervisors and safety officers with near real-time notification and historical analytics on hazards related to falls, "man-downs," no-go zones, unreasonable temperatures and more. 

About IBM Think  At deem 2019, IBM will profile unique offerings, client engagements, partnerships, technology breakthroughs and developer tools that underscore how IBM and partners are changing the route the world works.  For more information, visit the IBM deem 2019 Newsroom: https://newsroom.ibm.com/think. follow the conference on Twitter at #think2019 and @ibmlive, and roam to https://www.ibm.com/events/think/ for the full schedule and live streaming agenda.

 

 

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Guardhat, this is no ordinary difficult hat

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hamon®-the highly connective AGposs fiber collects biometric data from the wearer.

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CEO, Jason Lee, shows just how portable theSmartCone™ can be. (Photo by designate Holleron)

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IBM Corporation logo. (PRNewsfoto/IBM)

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IBM steps up efforts to encourage miners improve health and safety records | killexams.com existent questions and Pass4sure dumps

IBM steps up efforts to encourage miners improve health and safety records

IBM steps up efforts to encourage miners improve health and safety records

In 2010, a mine in northern Chile collapsed, trapping 33 workers underground for more than two months. IBM is working to provide AI solutions that can improve response to mine disasters. (Image: Miner Alex Vega. Hugo Infante, Chilean Gov’t via Wikipedia.)

Much has been said lately about how IBM’s cognitive exploration and content analysis platform, known as Watson, is helping major miners, such as Goldcorp and Newcrest, in a number of ways, from mine planning and operational performance optimization to sharpening takeover strategies.

A less touted, but equally helpful advantage of this and other synthetic intelligence (AI) applications is the role they are playing — or expected to play— in the health and safety belt of mining companies.

For designate Fawcett, a partner with IBM Global traffic Services, the retort is clear. Available technologies, he tells MINING.com, roam beyond helping mining companies forecast when their equipment is going to fail, they can furthermore monitor biometric and environmental data to identify whether employees are at risk of danger.

Data can subsist gathered in near existent time from wearables, smart devices, and environmental sensors to encourage firms respond to problems or react to changing environmental conditions.

The problem is that many organizations enact not possess an automated safety system in place, Fawcett says. Often, they are paper-based or confidence on systems where the data is unstructured. Even when there are systems in place, they usually vary from mine to mine. Ultimately, safety departments are left with an incomplete view of incidents across their organization.

“AI has the skill to quickly consume the data regardless of source and easily provide insights on the top issues, major trends that are occurring, and partake insights on data that may possess been missed. In addition, historical data can subsist consumed to trend historically over time,” Fawcett notes.

IBM believes that in the “very near” future, AI will provide a full analysis on working conditions before an employee even takes a travail order.

Fawcett believes that in the “very near” future, AI will provide a full analysis on working conditions before an employee even takes a travail order. This will include a complete summary on where the job is going to subsist performed spatially, forecasted weather data and material safety notices for the worker in that specific location.

“The freeze-thaw cycle is a common specimen of where they can apply spatial analytics to safety. When an employee receives a travail order where the ground may subsist frozen, that travail order would subsist accompanied by the material safety notices and other events that possess happened giving the employee a material picture of the work, the forecast and potential risk,” he says.

“Using this data, they can preclude a lot of falls that would possess otherwise happened without that notice, ultimately resulting in smarter and safer working conditions.”

That’s why IBM is developing what it calls “Watson safe”, currently in its second phase and is expected to subsist ready on a platform scale in the second half of the year.

Wearable safety

IBM is furthermore working on extending the achieve of the so-called internet of things (IoT), a system of interrelated computing devices, mechanical and digital machines, objects, people and even animals embedded with sensors, software, electronics and connectivity. These allow the system to fulfill better by exchanging information with other connected devices without requiring human-to-human or human-to-computer interaction.

IBM steps up efforts to encourage miners improve health and safety records

IBM steps up efforts to encourage miners improve health and safety records

Image: Shutterstock.

The company has recently joined wearable technology developer Garmin to offer organizations who deploy IBM’s Maximo Worker Insights platform to receive alerts based on near real-time sensor data from workers wearing Garmin activity trackers.

By embedding the Garmin Health Companion SDK in the IBM Maximo Worker Insights platform, supervisors and safety officers can receive notifications for tall heart rate and man-down scenarios, as well as review historical analytics based on the biometric signals from Garmin wearables.

The IT giant is furthermore partnering with Guardhat, Mitsufuji and SmartCone to encourage monitor worker safety in hazardous environments.

Guardhat's KYRA IoT platform can complement the IBM Worker Insights solution to provide situational awareness to workers and company operations through the expend of Smart PPE wearables.

Mitsufuji, in turn, has launched a unique wearable “shirt” made from silver conductive fibres that tracks data from workers' biometrics to encourage ensure safety in extreme environments.

SmartCone, a provider of smart, IoT-based safety and monitoring solutions for securing vulnerable and hazardous zones, will subsist integrating Maximo Worker Insights into its highly portable system to monitor worker safety in the utilities industry, community traffic, construction, mining and industrial environments with poignant or uncertain no-go zones.

Response to mine disasters

IBM envisions AI being used furthermore to improve response to mine disasters. When something enjoy the recent deadly dam calamity in the Brazilian town of Brumadinho happens, everyone from national government leaders and the military to the small-town mayor and scores of volunteers promote together to respond to the event. entire those people, at every level, need to communicate, partake information and coordinate their activities so that they’re doing things efficiently and not duplicating their efforts.

Many times, that doesn’t chance effectively because people can’t find or partake the information they need, when they need it.

IBM is already supporting Lightship, a company that offers an intelligent fields operations implement to encourage organizations navigate their data to find the necessary information to encourage them design better, safer decisions. It pulls together entire of an organization’s information, such as Geographic Information System (GIS) mapping, drone photos, satellite photos and the real-time locations of people and vehicles.


IBM Db2 Query Optimization Using AI | killexams.com existent questions and Pass4sure dumps

In September 2018, IBM announced a unique product, IBM Db2 AI for z/OS. This synthetic intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to resolve on optimal patterns and passes this information to the Db2 query optimizer for expend by subsequent statements.

Machine Learning on the IBM z Platform

In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that represent the health status of various indicators, monitors them over time and provides real-time scoring capabilities.

Several features of this product offering are aimed at supporting a community of model developers and managers. For example:

  • It supports multiple programming languages such as Python, Scala and R. This allows data modelers and scientists to expend a language with which they are familiar;
  • A graphical user interface called the Visual Model Builder guides model developers without requiring highly-technical programming skills;
  • It includes multiple dashboards for monitoring model results and scoring services, as well as controlling the system configuration.
  • This machine learning suite was initially aimed at zServer-based analytics applications. One of the first obvious choices was zSystem performance monitoring and tuning. System Management Facility (SMF) records that are automatically generated by the operating system provide the raw data for system resource consumption such as central processor usage, I/O processing, recollection paging and the like. IBM MLz can collect and store these data over time, and build and train models of system behavior, score those behaviors, identify patterns not readily foreseen by humans, develop key performance indicators (KPIs) and then feed the model results back into the system to influence system configuration changes that can improve performance.

    The next step was to implement this suite to analyze Db2 performance data. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the machine learning technology to Db2 operational data to gain an understanding of Db2 subsystem health. It can dynamically build baselines for key performance indicators, provide a dashboard of these KPIs and give operational staff real-time insight into Db2 operations.

    While general Db2 subsystem performance is an famous factor in overall application health and performance, IBM estimates that the DBA support staff spends 25% or more of its time, " ... fighting access path problems which antecedent performance degradation and service impact.". (See Reference 1).

    AI Comes to Db2

    Consider the plight of modern DBAs in a Db2 environment. In today's IT world they must support one or more capacious data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, calamity recovery planning, and more. Query tuning has been in actuality since the origins of the database, and DBAs are usually tasked with this as well.

    The heart of query path analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the data, reviews the locations of the objects to subsist accessed and develops a list of candidate data access paths. These access paths can include indexes, table scans, various table relate methods and others. In the data warehouse and capacious data environments there are usually additional choices available. One of these is the actuality of summary tables (sometimes called materialized query tables) that hold pre-summarized or aggregated data, thus allowing Db2 to avoid re-aggregation processing. Another option is the starjoin access path, common in the data warehouse, where the order of table joins is changed for performance reasons.

    The Optimizer then reviews the candidate access paths and chooses the access path, "with the lowest cost." Cost in this context means a weighted summation of resource usage including CPU, I/O, recollection and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in recollection (and, optionally, in the Db2 Directory) and begins access path execution.

    Big data and data warehouse operations now include software suites that allow the traffic analyst to expend a graphical interface to build and maneuver a miniature data model of the data they wish to analyze. The packages then generate SQL statements based on the users’ requests.

    The Problem for the DBA

    In order to enact top-notch analytics on your multiple data stores you need a top-notch understanding of the data requirements, an understanding of the analytical functions and algorithms available and a high-performance data infrastructure. Regrettably, the number and location of data sources is expanding (both in size and in geography), data sizes are growing, and applications continue to proliferate in number and complexity. How should IT managers support this environment, especially with the most experienced and develope staff nearing retirement?

    Understand furthermore that a great section of reducing the total cost of ownership of these systems is to regain Db2 applications to race faster and more efficiently. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting less data across the network. Since it is often difficult to even identify which applications could capitalize from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and synthetic intelligence can subsist used to grand effect.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to amass and store SQL query text and access path details, as well as actual performance-related historical information such as CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and stores the data in machine learning models, with the model analysis results then being scored and made available to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then expend the model scoring data as input to its access path preference algorithm.

    The result should subsist a reduction in CPU consumption as the Optimizer uses model scoring input to elect better access paths. This then lowers CPU costs and speeds application response times. A significant advantage is that using AI software does not require the DBA to possess data science skills or abysmal insights into query tuning methodologies. The Optimizer now chooses the best access paths based not only on SQL query syntax and data distribution statistics but on modelled and scored historical performance.

    This can subsist particularly famous if you store data in multiple places. For example, many analytical queries against capacious data require concurrent access to inevitable data warehouse tables. These tables are commonly called dimension tables, and they hold the data elements usually used to control subsetting and aggregation. For example, in a retail environment account a table called StoreLocation that enumerates every store and its location code. Queries against store sales data may wish to aggregate or summarize sales by Location; hence, the StoreLocation table will subsist used by some capacious data queries. In this environment it is common to elect the dimension tables and copy them regularly to the capacious data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now deem about SQL queries from both operational applications, data warehouse users and capacious data traffic analysts. From Db2's perspective, entire these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely subsist directed to access the StoreLocation table in the warehouse. On the other hand, the query from the traffic analyst against capacious data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more travail for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to design smart access path selections.

    How It Works

    The sequence of events in Db2 AI for z/OS (See Reference 2) is generally the following:

  • During a bind, rebind, prepare or accountfor operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the preference is made, Db2 AI captures the SQL syntax, access path preference and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can subsist executed on a zIIP processor (a non-general-purpose CPU core that does not factor into software licensing charges), interfaces with the machine learning software (MLz Model Services) to store this information in a model;
  • As the amount of data in each model grows, the MLz Scoring Service (which furthermore can subsist executed on a zIIP processor) analyzes the model data and scores the behavior;
  • During the next bind, rebind, prepare or explain, the Optimizer now has access to the scoring for SQL models, and makes appropriate changes to access path choices.
  • There are furthermore various user interfaces that give the administrator visibility to the status of the accumulated SQL statement performance data and model scoring.

    Summary

    IBM's machine learning for zOS (MLz) offering is being used to grand upshot in Db2 version 12 to improve the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your traffic is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT support staff must subsist tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and justify the assumptions that the software makes about access path choices?

    In other words, how well enact you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs expend their time in supporting analytics and operational application performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 Distinguished EngineerFrom "IBM Db2 AI for z/OS: Boost IBM Db2 application performance with machine learning"https://www.worldofdb2.com/events/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See entire articles by Lockwood Lyon



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