Real Time Systems


What goes into the right storage for AI? - IBM IT Infrastructure Blog

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Artificial intelligence (AI), machine learning and cognitive analytics are having a tremendous impact in areas ranging from medical diagnostics to self-driving cars. AI systems are highly dependent on enormous volumes of data--both at rest in repositories and in motion in real time--to learn from experience, make connections and arrive at critical business decisions. Usage of AI is also expected to expand significantly in the not-so-distant future. As a result, having the right storage to support the massive amounts of data required for AI workloads is an important consideration for an increasing number of organizations. Availability: When a business leader uses AI for critical tasks such as understanding how best to run their manufacturing process or to optimize their supply chain, they cannot afford to risk any loss of availability in the supporting storage system.


AI, Combined Actions and Digital Strategies @ExpoDX #AI #Cloud #DigitalTransformation

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Fingerspitzengef├╝hl: A German word used to describe the ability to maintain attention to detail in an ever-changing operational and tactical environment by maintaining real-time situational awareness. The term is synonymous with the English expression of "keeping one's finger on the pulse". The problem with fingerspitzengef├╝hl traditionally, in addition to pronouncing it, has been it is hard for an individual to scale up. In a world of sensors, AI and mobile devices, having real-time situational awareness is far easier than ever before. In fact, today the challenge is not how to do it, but what to do with the massive volume of data that can be provided.


Driving Greater SQL Scalability and Flexibility with Machine Learning - DATAVERSITY

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It's time to dispel some myths surrounding SQL. That's the message from MemSQL, a scalable real-time Data Warehouse that is designed to ingest and transform millions of events of data per day, while simultaneously analyzing billions of rows of data using standard SQL. As that description makes clear, there's no reason to believe that there's no such thing as scalable SQL, according to Gary Orenstein, Senior VP for Products at MemSQL. One of the oft-cited reasons for moving from SQL to NoSQL is concern that SQL solutions can't scale, Orenstein says. But today, there's a renewed awareness that it is possible to scale SQL, partially thanks to Google's Cloud Spanner globally distributed, relational database service that counts among its features horizontal scaling.


Microsoft launches 'Project Brainwave' for real-time AI

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With the help of ultra-low latency, the system processes requests as fast as it receives them. He added that the system architecture reduces latency, since the CPU does not need to process incoming requests, and allows very high throughput, with the FPGA processing requests as fast as the network can stream them. Microsoft is also planning to bring the real-time AI system to users in Azure. "With the'Project Brainwave' system incorporated at scale and available to our customers, Microsoft Azure will have industry-leading capabilities for real-time AI," Burger noted.


How Artificial Intelligence Can Eliminate Bias And Improve HR Operations

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AI will be suitable for more basic tasks and even in helping managers with performance management tasks -- for example, appraisals and corrective action. AI will help eliminate human bias by identifying potential bias in job descriptions and HR communication. The data from AI can be analyzed to improve operational efficiency and to create strategic plans based on real-time data for business goals, employee retention, succession planning and organizational development. In the next few years, we'll begin to see artificial intelligence automating certain administrative functions and reducing the number of menial tasks faced by HR employees.


How Automotive AI Is Going to Disrupt (Almost) Every Industry - DZone AI

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SAE International has created the now-standard definitions for the six distinct levels of autonomy, from Level 1 representing only minor driver assistance (like today's cruise control) to Level 6 being the utopian dream of full automation: naps and movie-watching permitted. Many of the features of AI-assisted driving center around increased safety, like automatic braking, collision avoidance systems, pedestrian and cyclists alerts, cross-traffic alerts, and intelligent cruise control. A connected vehicle could also share performance data directly with the manufacturer (called "cognitive predictive maintenance"), allowing for diagnosis and even correction of performance issues without a stop at the dealer. Although it may not at first appear directly tied to automotive AI, the health and medical industry stands to experience some significant disruptions as well.


How artificial intelligence makes datacenters smarter

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Vigilent, a company that uses IoT, machine learning and prescriptive analytics in mission-critical environments, reduces datacenter cooling capacity by employing real-time monitoring and machine language software to match cooling needs with the exact cooling capacity. Reduces Opex: Off-the-shelf smart management and monitoring solutions can be embedded with AI systems to reduce and control datacenter operating expenses. Google reduced the overall datacenter power utilization by 15 percent by using a custom AI smart management and monitoring solution that employs machine learning to control about 120 datacenter variables from fan speeds to windows. Another company called Wave2Wave has developed a rack-mounted robot called ROME (Robotic Optical Switch for Datacenters) for making physical optical connections in a few seconds.


Microsoft launches Project Brainwave for real-time artificial intelligence

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With the help of ultra-low latency, the system processes requests as fast as it receives them. He added that the system architecture reduces latency, since the CPU does not need to process incoming requests, and allows very high throughput, with the FPGA processing requests as fast as the network can stream them. Microsoft is also planning to bring the real-time AI system to users in Azure. "With the'Project Brainwave' system incorporated at scale and available to our customers, Microsoft Azure will have industry-leading capabilities for real-time AI," Burger noted.


Man Meets Machine Trajectory Magazine

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Imagine an Air Force pilot flying an aircraft equipped with highly complex sensor platforms collecting data not only about the jet and the surrounding environment, but the pilot as well. Dr. James Christensen, a portfolio manager at the Air Force Research Lab, described the ability to sense and understand the state and capabilities of the operator as critical to the military's successful employment of highly automated systems. Dr. Justin Sanchez, director of the Defense Advanced Research Projects Agency's (DARPA) Biological Technologies Office, spoke about the challenge of developing precise neuro-technologies that interact with certain circuits of the brain or peripheral nervous system in real time, monitoring for changes in brain signals. Because this capability relies on quality optics, it is conceivable to someday measure this blood flow data from space--allowing collection of biometric data from huge populations.


The Internet of Sporting Things: Internet of Things Blog

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Real-time insights generated from connected stadiums and even connected athletes are changing coaching styles, training approaches and the way fans engage with what they are seeing. In preparation for last year's Olympic Games, the IBM jStart team designed a digital training solution for the USA Cycling team. The solution pulled together all data sources that were part of an IoT solution into a single dashboard, giving the team real-time, actionable insights that helped take them from fifth place in world competition to a gold medal in the 2016 World Championship and silver in the 2016 Olympics. This is just a quick glimpse into how the sporting IoT can enhance fan engagement and provide athletes and coaches with real-time, actionable insights from data.