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Deploying Machine Learning Models to Maximise Business Impact

Building ML Models may be ‘Data Fun’ but using them to support the business is where the value lies. By John Spooner, Head of Artificial Intelligence, EMEA, H2O.ai.

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VIDEO

Digitalisation World talks to Keysource about the launch of Keysource Artificial Intelligence (KAI)

DW/DCS talks to Richard Clifford, Head of Innovation at Keysource, about the launch of a new facilities maintenance service - Keysource Artificial Intelligence (KAI) - which uses machine learning and artificial intelligence technology to help organisations transform their edge operational management strategy.

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NEWS

NetApp deploys Iguazio's Data Science Platform to optimise storage management

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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NEWS

Elastic infrastructure for AI and ML applications

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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NEWS

FPGA makes the grade for satellite and space applications

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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NEWS

Rolls-Royce signs Iotics to power its Digital Twin Technology

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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Switchtec PFX PCIe Gen 5 high performance switches double the data rate of PCIe Gen 4.0 solutions...
Rolls-Royce Power Systems adopts Iotics’ operating environment and toolset to expand its digital...
An explosion in the growth of technologies such as AI and machine learning is transforming the...
Amazon HealthLake enables healthcare organisations to store, transform, and query health data in...
Micro Focus has published the 2020 State of Security Operations report, which reveals that security...
Enterprises currently face the challenge of how to adopt and integrate AI and ML into their...
Latest Video

LinkedIn Automates All of the Easy Things, and Makes all of the Hard Things Easy

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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