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International Data Corporation (IDC)has publishd its worldwide information technology (IT) industry predictions for 2021 and beyond.
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Respondents around the world highlight the immediate need for data to drive decision-making for greater efficiency, while future plans are focused on investments for agility.
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Micro Focus has published the 2020 State of Security Operations report, which reveals that security operations centres (SOCs) across the globe are most concerned with advanced threat detection and are increasingly looking to artificial intelligence (AI) and machine learning (ML) technologies to proactively safeguard the enterprise.
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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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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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