Remove 2022 Remove Experimentation Remove Strategy Remove Uncertainty
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20 issues shaping generative AI strategies today

CIO Business Intelligence

The adoption curve here is by no means gradual, with most enterprise leaders quickly working to harness the technology’s potential mere months after the November 2022 launch of gen AI tool ChatGPT kicked off a wave of enthusiasm (and worry). Here’s a rundown of the top 20 issues shaping gen AI strategies today. It’s not a hammer.

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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible. on average over the next year, somewhat lower than the projected 6.5%

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages.

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How to create a culture of innovation

CIO Business Intelligence

Fast-forward to 2022. Prioritize time for experimentation. It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Change Management, Innovation, IT Leadership, IT Strategy

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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

OpenAI’s November 2022 announcement of ChatGPT and its subsequent $10 billion in funding from Microsoft were the “shots heard ’round the world” when it comes to the promise of generative AI. Generative AI, IT Leadership, IT Strategy Still, as Whyde concedes, “some of the concern around risk of adoption of AI is distressing.”

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