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Today’s AI models have a poor grasp of world history – Computerworld
Today’s AI models do a poor job of providing accurate information about world history, according to a new report from the Austrian research institute Complexity Science Hub (CSH). In an experiment, OpenAI’s GPT-4, Meta’s Llama, and Google’s Gemini were asked to answer yes or no to historical questions — and only 46% of the answers were correct. GPT-4, for example,…
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AI projects are faltering as CDOs grapple with poor data quality
Only a third of businesses are making meaningful progress in AI adoption, and chief data officers (CDOs) are pinning the blame on poor data quality. More than two-thirds (68%) of CDOs said data quality was their top challenge, according to the Ataccama Data Trust Report 2025. Meanwhile, four-in-ten struggle to maintain consistent data quality, directly hindering AI outcomes. The report…
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Poor broadband connectivity is costing London SMBs billions
London’s small and medium businesses (SMBs) are making £28 billion a year less than they should thanks to slow and unreliable workplace broadband connectivity, new research shows. High costs, along with the complexity of securing reliable services, make the cost of fast and dependable connectivity prohibitive for many firms, according to analysis from G.Network. This, the company said, leaves many…
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Why are so many AI projects destined for failure? Inexperienced staff, poor planning, and a shoehorned approach to agile development are all stifling innovation
AI projects fail because of technical challenges, people misunderstanding what’s possible, and agile development, according to research from the RAND institute. Research cited by RAND suggests as many as 80% of AI projects fail — that’s twice the rate of other technology projects and a serious problem for the industry given the costs involved with AI. RAND notes that the…
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