The sheer volume of data that needs to be captured, collated and analysed at Wimbledon is staggering, but Bill Jinks, UKI Front Office Transformation Technical Leader at IBM explains how it's done. Through the intelligent use of cloud computing and data analytics, IBM doesn't just present results, it also predicts them.
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Meta just revived plans to train AI models using European user dataNews Meta has confirmed plans to train AI models using European users’ public content and conversations with its Meta AI chatbot.
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AI is helping bad bots take over the internetNews Automated bot traffic has surpassed human activity for the first time in a decade, according to Imperva
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Put AI to work for IT operationswhitepaper Reduce the cost and complexity of managing hybrid applications
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AI in the retail industry is spreading beyond the IT departmentNews AI has become a strategic imperative for retailers, delivering marked productivity gains
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Maximizing contact center operations with generative AI assistants backed by responsible AI principleswhitepaper Reduce the cost and complexity of managing hybrid applications
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IBM just launched powerful new open source AI models – here’s what you need to knowNews Available under the Apache 2.0 license, IBM's Granite 3.0 models are trained on enterprise data and can out-perform the competition
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Achieving business outcomes with generative AIWebinar Take your hybrid cloud journey to the next level with generative AI
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Wimbledon’s new Catch Me Up AI feature promises to keep fans up to date at the tournament – after it irons out some of the wrinklesNews The latest feature to come out of IBM’s partnership with Wimbledon will keep fans engaged from the early stages right through to the final with dynamic player insights
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AI demands new ways of data managementwhitepaper The data leader’s guide for how to leverage the right databases for applications, analytics and generative AI
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AI governance for responsible transparent and explainable AI workflowswhitepaper Build greater trust in your AI
