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Companies are facing a Catch 22 when it comes to the need to invest in new forms of AI, whilst continuing to hit increasingly stringent sustainability targets. Maxime Vermeir, Senior Director for AI strategy at ABBYY,
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By Mahesh Desai, Head of EMEA Public Cloud, Rackspace Technology.
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By Narek Tatevosyan, Product Director at Nebius AI.
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The Riverbed Global AI & Digital Experience Survey provides unique insight into the Financial Services sector – including its approach, attitude and adoption strategies for successfully implementing AI now and into the future.
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Enterprise AI adoption is still in its exploration stages, but companies are finding innovative ways to leverage their GPU investments beyond AI applications and reaping good results, according to a new report from Hammerspace, the company orchestrating the next data cycle.
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Employees believe generative AI will facilitate a third (32%) of entry level tasks over the next 12 months.
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Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world?s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker?s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 ?Dockerized? applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.
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