Remove 2023 Remove Data-driven Remove Experimentation Remove Uncertainty
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt).

Strategy 289
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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

But released the next day, the 2023 Gartner CIO and Technology Executive Survey revealed that EMEA-based CIOs expect IT budgets to increase 4.4% Digitally reduce energy usage: Gartner believes that CIOs should use cloud, data and analytics to establish a “base load” – an overview of how much energy the organisation has consumed.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

Just look at the stats:Some 45% of 2,500 executives polled for a May 2023 report from research firm Gartner said the publicity around ChatGPT prompted them to increase their AI investments, 70% said their organization is already exploring gen AI, and 19% are in actual pilot or production mode.

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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. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. The data showed us that metrics are not exactly straight-line functions of parameters.

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The four Es of AI: Keeping up with the trend that never sleeps

CIO Business Intelligence

It’s around these four work streams that leading organizations are positioning themselves to mature their data strategies and, in doing so, answer not only today’s AI questions but tomorrow’s. So, if you, too, want to leverage AI to its fullest extent, you must first look in the mirror: Can I manage this growing volume of data?