Oh, to be a data scientist now that AI is here. Money, prestige, deference and little interference, since few understand much of what data scientists do. Still, it isn’t ...Full Article
Ranked behind only the Dell-EMC and Avago-Broadcom acquisitions as the largest in the history of the technology industry, IBM’s $34 billion blockbuster purchase of Red Hat, announced last October ...Full Article
You use graph databases every day and probably don’t know it. Every time you visit LinkedIn and see first-, second-, or third-degree connections, you’re getting results from the social networking ...Full Article
Data scientists must deliver accurate, agile insights that enhance company performance. At the same time, they face a host of technical barriers involving legacy data silos, security, data governance ...Full Article
Deep learning containers, a service recently rolled out in beta by Google, aims to help AI developers package the storage and computing dependencies required for services like its Kubernetes ...Full Article
Nvidia’s DGX-Ready Data Center Program, announced in January and designed to provide colo and public cloud-like options to access the company’s GPU-powered servers for AI workloads, has expanded the ...Full Article
Results for the second round of the AI benchmarking suite known as MLPerf were published today with Google Cloud and Nvidia each picking up three wins in the at-scale ...Full Article
Surprise! Venture capital funding in AI is heating up – sorry, continuing to heat up – hitting a record high in 2018, according to GlobalData, a data and analytics ...Full Article
As GPU leader Nvidia closes its $6.9 billion acquisition of Mellanox Technologies announced earlier this year, the HPC network interconnect specialist’s venture arm remains active, investing in two storage startups. ...Full Article
Going all-in on its bet that enterprises are poised to move mission- critical workloads across hybrid clouds, IBM finally announced the closing of its blockbuster deal to acquire open ...Full Article
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