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Test title : IBM Cognos Real-time Monitoring Developer
Vendor title : IBM
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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 considerable 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 array screen biometric and environmental information to support determine whether personnel are experiencing hazards or chance. facts will be gathered in nearby true-time from wearables, wise devices and environmental sensors to support groups quickly reply to problems or react to changing environmental circumstances.

View photographs

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

greater

personnel working in unexpectedly changing environments kisser 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 implement near actual-time and prescriptive defense practices to aid protect the wellbeing of employees and which should support them preserve lower coverage costs. 

For personnel, this unique providing displays capabilities environmental threats to their security and safety as they work on the entrance traces.  For employers, the retort is designed to support them establish and reply to skills hazards with the objective to hold their workforce secure. Nonfatal position of work 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 captious priority for ribald businesses and this collaboration is an considerable milestone in dramatically enhancing the manner enterprises identify and regain rid of hazards in the position of work," said Kareem Yusuf Ph.D., time-honored manager, IBM Watson IoT. "we're extremely joyful to work with Garmin, Guardhat, Mitsufuji and SmartCone, and leverage their respective management and commitment to assist help protection within the office," continued Dr. Yusuf.

"Garmin fitness is worked up to work 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 materiel permits us to more suitable analyze position of work records and provide essential safeguard insights in nearby actual-time," said Saikat Dey, Guardhat Co-Founder and CEO. "by way 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 work with each IBM and their valued clientele to multiply the hamon solution additional. They perceive IBM as a useful member of their crew, now not handiest offering effective internet of issues applied sciences, however also assisting us establish unique market alternatives ribald over."

Story continues

"we are extremely joyful to work 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 present organizations who installation the IBM Maximo employee Insights platform to regain hold of indicators according to nearby 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 nearby 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 nearby precise-time situational attention to laborers and company operations through the consume of smart PPE wearables. corporations can gain deeper knowing of the container condition and raise recognition within the organization, to examine surest practices and strategies for desultory 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 support be sure protection and productivity in violent 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, babel 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 also be analyzed in nearby precise-time, with alerts and alarms signaled on cellular instruments to buy 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 supine and hazardous zones, gigantic and small, is working with IBM and integrating Maximo worker Insights into its particularly transportable device to video array employee protection within the utilities industry, community site visitors, development, mining and industrial environments with stirring or bad no-go zones. applying multi-sensors, audio/video, communication capabilities, computing and region gateway capabilities, TheSmartCone™ gadget combines with IBM Maximo employee Insights to deliver supervisors and safety officers with near precise-time notification and veteran 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 way the region 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 mosey to https://www.ibm.com/pursuits/suppose/ for the total schedule and are animated streaming agenda.

 

 

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View pictures

Guardhat, this is no common tough hat

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View photos

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

extra

View pictures

CEO, Jason Lee, shows simply how moveable theSmartCone™ can also be. (photo through ticket 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 array screen worker security in hazardous environments, including these working in development, mining and factories, the consume of IoT technologies, integrated into wearables. IBM's Maximo employee Insights will video array biometric and environmental facts to aid establish even if employees are experiencing risks or possibility. facts will be gathered in near real-time from wearables, wise instruments and environmental sensors to support organizations birthright away respond to complications or react to altering environmental circumstances.

IB Mpressrelease Feb2019Garminpeople donning Garmin recreation trackers will consume IBM Maximo employee Insights platform sending nearby actual-time notifications for prime heart rate and man down eventualities.IBMEmployees working in unexpectedly changing environments kisser stirring 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 achieve in favor nearby 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 work on the entrance lines. For employers, the solution is designed to assist them identify and reply to abilities hazards with the objective 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 ribald organisations and this collaboration is a titanic 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 work with Garmin, Guardhat, Mitsufuji and SmartCone, and leverage their respective management and dedication to assist enhance safety in the position of work," continued Dr. Yusuf.

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

"Garmin health is worked up to work 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 qualified sensor facts and lengthy battery lifetime of Garmin contraptions creates an excellent solution for remotely monitoring workers with minimal person burden."

"The implementation of wise protective gadget allows for us to enhanced analyze office facts and supply considerable safety insights in nearby 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 wise security to scale in the construction, manufacturing and refining industries."

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

Ibmpressrelease Feb2019mitsufujiMitsufuji hamon wearable shirt tracks IoT sensor facts from employee's biometrics.IBM"we're overjoyed to work 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 position 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 lofty 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 hard 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 consume of wise PPE wearables. corporations can profit deeper knowing of the container situation and raise awareness in the firm, to verify most effective practices and techniques for risk mitigation thereby managing or keeping lessen 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 violent 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, babel and venomous gasoline degrees, at the side of the consume of IBM Maximo worker Insights. with the aid of connecting to the IBM Maximo worker Insights solution on the IBM Cloud, this facts will also be analyzed in near actual-time, with alerts and alarms signaled on mobile contraptions to buy 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 perilous zones, great and small, is working with IBM and integrating Maximo employee Insights into its enormously portable materiel to computer screen employee security in the utilities industry, group traffic, construction, mining and industrial environments with stirring or perilous 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 veteran analytics on risks concerning falls, "man-downs," no-go zones, extreme temperatures and extra.


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

Yellow hard 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 array the security of employees in hazardous environments.

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

The business's know-how should be used to investigate environmental and biometric records to assist verify if worker's are exposed to hazard or possibility. wise contraptions, wearables and environmental sensors may be used to compile the information in near real-time. "employee safety is a captious priority for ribald corporations and this collaboration is a major milestone in dramatically improving the way firms identify and purge dangers in the position 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 consume of every cramped 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 qualified retort for remotely monitoring laborers with minimal consumer burden."

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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 support identify whether employees are experiencing dangers or risk. Data will be gathered in near real-time from wearables, smart devices and environmental sensors to support organizations quickly respond to problems or react to changing environmental conditions.

View photos

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

More

Employees working in rapidly changing environments kisser 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 support protect the wellbeing of workers and which should support them maintain lower insurance costs. 

For employees, this unique offering monitors potential environmental threats to their safety and security as they work on the front lines.  For employers, the solution is designed to support them identify and respond to potential hazards in an effort to maintain their workforce safe. Nonfatal workplace injuries account for nearby to $60 billion in workers' compensation costs in the U.S. Although safety controls and personal protective materiel are mandatory in most hazardous jobs, this solution is designed to support 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 captious priority for ribald enterprises and this collaboration is a major milestone in dramatically improving the way enterprises identify and purge hazards in the workplace," said Kareem Yusuf Ph.D., common manager, IBM Watson IoT. "We are thrilled to work with Garmin, Guardhat, Mitsufuji and SmartCone, and leverage their respective leadership and commitment to support help safety in the workplace," continued Dr. Yusuf.

"Garmin Health is excited to work 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 remarkable solution for remotely monitoring workers with minimal user burden."

"The implementation of smart protective materiel allows us to better analyze workplace data and provide considerable 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 work with both IBM and their clients to develop the hamon solution further. They perceive IBM as a valuable member of their team, not only providing powerful Internet of Things technologies, but also helping us identify unique market opportunities around the world."

Story continues

"We are thrilled to work 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 present 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 lofty heart rate and man down scenarios, as well as review historical analytics based on the biometric signals from Garmin wearables.

Guardhat and its smart hard 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 consume of Smart PPE wearables. Companies can gain deeper understanding of the province 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 support 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, babel and toxic gas levels, together with the consume of IBM Maximo Worker Insights. By connecting to the IBM Maximo Worker Insights solution on the IBM Cloud, this data can be analyzed in near real-time, with alerts and alarms signaled on mobile devices to buy 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 stirring or perilous 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, excessive temperatures and more. 

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

 

 

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Guardhat, this is no ordinary hard 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 ticket Holleron)

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IBM Corporation logo. (PRNewsfoto/IBM)

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

IBM steps up efforts to support miners help health and safety records

IBM steps up efforts to support miners help 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 help 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 edge of this and other synthetic intelligence (AI) applications is the role they are playing — or expected to play— in the health and safety region of mining companies.

For ticket Fawcett, a partner with IBM Global trade Services, the retort is clear. Available technologies, he tells MINING.com, mosey beyond helping mining companies predict when their materiel is going to fail, they can also monitor biometric and environmental data to identify whether employees are at risk of danger.

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

The problem is that many organizations carry out not gain an automated safety system in place, Fawcett says. Often, they are paper-based or rely 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 ability to quickly consume the data regardless of source and easily provide insights on the top issues, major trends that are occurring, and share insights on data that may gain been missed. In addition, historical data can be 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 work order.

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

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

“Using this data, they can forestall a lot of falls that would gain 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 aspect and is expected to be ready on a platform scale in the second half of the year.

Wearable safety

IBM is also working on extending the reach 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 support miners help health and safety records

IBM steps up efforts to support miners help health and safety records

Image: Shutterstock.

The company has recently joined wearable technology developer Garmin to present 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 lofty heart rate and man-down scenarios, as well as review historical analytics based on the biometric signals from Garmin wearables.

The IT giant is also partnering with Guardhat, Mitsufuji and SmartCone to support 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 consume 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 support ensure safety in extreme environments.

SmartCone, a provider of smart, IoT-based safety and monitoring solutions for securing vulnerable and hazardous zones, will be 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 stirring or perilous no-go zones.

Response to mine disasters

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

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

IBM is already supporting Lightship, a company that offers an brilliant fields operations tool to support organizations navigate their data to find the necessary information to support them invent better, safer decisions. It pulls together ribald 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 elect on optimal patterns and passes this information to the Db2 query optimizer for consume 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 delineate 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 consume 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, reminiscence 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 affect system configuration changes that can help 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 common Db2 subsystem performance is an considerable 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 understanding 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 titanic data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, catastrophe recovery planning, and more. Query tuning has been in existence 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 be accessed and develops a list of candidate data access paths. These access paths can comprehend indexes, table scans, various table join methods and others. In the data warehouse and titanic data environments there are usually additional choices available. One of these is the existence 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, reminiscence and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in reminiscence (and, optionally, in the Db2 Directory) and begins access path execution.

    Big data and data warehouse operations now comprehend software suites that allow the trade analyst to consume a graphical interface to build and manipulate 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 carry out qualified analytics on your multiple data stores you need a qualified 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 also 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 profit from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and synthetic intelligence can be used to remarkable effect.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to collect 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 consume the model scoring data as input to its access path election algorithm.

    The result should be 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 edge is that using AI software does not require the DBA to gain data science skills or deep 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 be particularly considerable if you store data in multiple places. For example, many analytical queries against titanic data require concurrent access to sure 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 be used by some titanic data queries. In this environment it is common to buy the dimension tables and copy them regularly to the titanic data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now contemplate about SQL queries from both operational applications, data warehouse users and titanic data trade analysts. From Db2's perspective, ribald these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely be directed to access the StoreLocation table in the warehouse. On the other hand, the query from the trade analyst against titanic data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more work for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to invent 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 define operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the election is made, Db2 AI captures the SQL syntax, access path election and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can be 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 also can be 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 usurp changes to access path choices.
  • There are also 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 remarkable sequel in Db2 version 12 to help the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your trade 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 be 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 carry out you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs spend 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 ribald articles by Lockwood Lyon



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