May 9 - How to craft a generative AI policy | AI boom to reshape cloud

Generative AI at work: 3 steps to crafting an enterprise policy; White House considers ban on ransom payments, with caveats [View online]( | [Signup]( | [Forward]( [CIO Dive]( Daily Dive May 9, 2023 | Today’s news and insights for tech leaders [ProEdge, a PwC Product]( BROUGHT TO YOU BY — ProEdge, a PwC Product [Big data: addressing the challenges]( See how upskilling can increase the value of big data in your organization. [Learn more.]( Welcome --------------------------------------------------------------- Welcome to today's edition of CIO Dive. This free newsletter is a benefit of your membership with the Informa events community. More than 2.6 million business leaders rely on our newsletters for industry news and insights every day. Here are a few subscription options: - We have 20+ other business newsletters. [Explore them here](. - Nothing for you in this list? 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If you like what you see, [click here]( to hide this message in future newsletters. 2023 INSIGHTS [The CIO Dive Outlook on 2023]( [Read now ➔]( 2023 INSIGHTS [The CIO Dive Outlook on 2023]( [Read now ➔]( [The AI boom is reshaping the cloud business]( To support generative AI models, AWS, Microsoft and Google Cloud are investing in infrastructure and maneuvering to manage cost. --------------------------------------------------------------- [Generative AI at work: 3 steps to crafting an enterprise policy]( Without guidance, employees could unknowingly put sensitive corporate information into the model or repurpose generated content and present it as their own. --------------------------------------------------------------- [White House considers ban on ransom payments, with caveats]( Experts suggest the effort, a reversal from the administration's previous stance, is fraught with complications that could cause unintended consequences. --------------------------------------------------------------- Sponsored Content by CIO Dive’s studioID [How to lower costs as complexity in data architecture grows]( Today’s data leaders struggle with architectural complexity, while the cost of data ownership is expected to double in the next five to seven years. 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