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53% of Tech Companies Integrate Cloud Solutions With AI, According to Survey of IT Decision-Makers
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72.4% are aware of the “significant” energy required to train or run AI models, 49.8% are concerned about the growing power requirements of AI, but only 13.0% monitor the energy efficiency of AI systems - a critical gap as Agentic AI pushes energy demands higher.
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Cisco’s end-to-end solution protects both the development and use of AI applications so enterprises can advance their AI initiatives with confidence.
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Artificial intelligence is emerging as a key area of focus and discussion within the electric vehicle (EV) industry. However, the high failure rate of AI projects can make manufacturers hesitant to invest in this technology. This article, written by Ryan Sian ACCA, managing director of RandD UK, provides valuable insight on how to ensure AI experimentation is business effective. It looks at the role AI could play in EV development, going on to examine the implications when AI fails and...
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By Ricardo Mendes, CEO, Vawlt.
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By Nathan Marlor, Global Head of Data and AI, Version 1.
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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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