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Generative AI sparks family business renaissance: PwC report

CIO Business Intelligence

The next generation of leaders in family businesses is poised to embrace the transformative power of generative AI (GenAI) despite marked resistance from the incumbent leaders, according to a PwC report. The survey findings too echoed Hinojosa’s sentiment.

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Dell cuts jobs amid growing economic uncertainties

CIO Business Intelligence

The second point is that while we’re seeing significant layoffs across Silicon Valley and IT companies worldwide, most still report good results, unlike Dell.” During the pandemic time, many companies inflated their cost structures in anticipation of growth and demand that didn’t materialize.

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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty. With AI, their users can get extremely smart research assistants.

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Handling uncertainty: panic vs. precautions…

Timo Elliott

Some people insist that the currently reported mortality rates are wildly overestimated because of the “missing denominator” problem—the absence of people who don’t show symptoms. A more flexible way of attacking uncertainty is to look beyond specific models and instead benchmark against “other people like us.”

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Complimentary Gartner Report: Improve S&OP Decision Making with Scenario Planning

But with uncertainty on the rise, they need to build more flexibility into their process to account for changing business conditions. Download this complimentary report to learn about: Gartner’s research findings on the role of scenario planning in S&OP. Traditionally, planning teams have aimed for one number, one plan.

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Uncertainties: Statistical, Representational, Interventional

The Unofficial Google Data Science Blog

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

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What to Expect From Uncertainty Quantification Methods: An Untold Story of ML Evaluation

Dataiku

Which metrics should be reported? In this article, we relate our experience in building an evaluation framework for Uncertainty Quantification (UQ) in ML. How can we ensure enough diversity in the selected datasets? Which baselines should be included for fair comparison?

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ABM Evolution: How Top Marketers Are Using Account-Based Strategies

In times of economic uncertainty, account-based strategies are essential. According to several business analysts and practitioners, ABM is a necessity for creating more predictable revenue. Research shows that nearly three-quarters of marketers (74%) already have the resources needed to build successful ABM programs.