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By Richard Chart, Chief Scientist and Co-Founder, ScienceLogic.
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Research by Alteryx finds that data silos and quality pose (surmountable) challenges as IT teams around the globe prepare their data stacks for generative AI.
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David Williams, Acting Managing Director EMEA, Telstra International, and Kwee Chuan Yeo, Senior Editor, Asia, MIT Technology Review Insights, discuss the findings of a recent MITTR study focusing on AI. It seems that everyone wants to deploy AI, but many organisations have yet to understand or implement the IT infrastructure requirements which are a prerequisite project success.
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AIOps solution now features GenAI, full-stack monitoring and observability capabilities, ML driven root-cause analysis and integrated LLMs.
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Barriers still persist for ongoing digitalisation.
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Amdocs has released research findings that give a deeper and surprising look into communications service provider (CSP) challenges, opportunities, and concerns around Generative AI (GenAI).
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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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