{"id":33741,"date":"2023-10-28T03:00:00","date_gmt":"2023-10-28T10:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=33741"},"modified":"2023-10-25T15:56:51","modified_gmt":"2023-10-25T22:56:51","slug":"infosys-generative-ai-radar-report","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/10\/28\/infosys-generative-ai-radar-report\/","title":{"rendered":"Infosys Generative AI Radar Report"},"content":{"rendered":"
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Our friends over at Infosys Knowledge Institute<\/a> released its Generative AI Radar report<\/a> providing insight into over 1,000 U.S. and Canadian businesses on the current state of generative (gen) AI implementation and early indications of its ability to deliver value.\u00a0<\/p>\n\n\n\n

The study shows that organizations are serious about gen AI as reflected in their investments; however, many face a difficult year ahead with numerous obstacles on the horizon: the next stage of the AI-hype cycle, data & privacy challenges, and ethical concerns. The study found that companies with more than $10 billion in revenue are more likely to adopt gen AI. Despite heavy regulation, adoption levels are highest among healthcare, life sciences, and financial service industries.\u00a0<\/p>\n\n\n\n

Key findings include:\u00a0<\/strong><\/p>\n\n\n\n