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Why scaling AI is proving harder than launching it

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Mike Fry, Infrastructure Data & Security Solutions Director at Logicalis UKI, discusses why many organisations are discovering that while launching AI is relatively straightforward, scaling it across the enterprise is significantly more complex.

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Stopping AI agents from running riot

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By Michael Vallas, Technical Principal and Field CTO at Goldilock Secure

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Network readiness is becoming the next barrier to AI adoption

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Richard Simmons, Director Network Solutions, at Logicalis UKI, discusses that the challenge of adopting AI is no longer proving that the technology works, but ensuring that the infrastructure supporting it can keep pace with the scale and speed of these new workloads.

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The Next Omnichannel Shift: When Shopping Happens Inside Chatbots and Feeds

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By Sue Azari, Industry Lead eCommerce at AppsFlyer

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Britain’s AI ambitions are growing, but are businesses keeping pace?

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By Simon Worsfold, In-House Economist at Intuit

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Docker on IoT devices

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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