Data Science Platform boosts infrastructure behind NetApp’s Active IQ solution, responding in real-time to 10 trillion data points per month collected from storage controllers globally, providing actionable intelligence for predictive maintenance and optimal data management.
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VMware has introduced a new integrated feature in VMware vSphere 7 that will enable enterprises to deliver elastic infrastructure on-demand for artificial intelligence (AI) and machine learning (ML) applications. This new feature—VMware vSphere Bitfusion—is developed out of VMware’s 2019 acquisition of Bitfusion, a pioneer in the virtualization of hardware accelerator resources including graphics processing unit (GPU) technology.
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First to enable machine learning inference together with unlimited on-orbit reconfiguration for real time on-board-processing in space; delivers full radiation tolerance spanning all orbits.
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Rolls-Royce Power Systems adopts Iotics’ operating environment and toolset to expand its digital ecosystem and deliver Customer Service 4.0.
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89% of businesses see success in majority of automation projects; 25% in every project.
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Robotics, assembly and manufacturing experts are currently converting industrial production lines in record time to help cope with the corona pandemic. New ideas are being swiftly implemented to reduce bottlenecks in the supply of protective face masks and to bring test procedures to robot speed. Wherever possible, the robotics and automation specialists are working to support people with smart machine power.
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Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.
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