Remove Experimentation Remove Marketing Remove Uncertainty
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). encouraging and rewarding) a culture of experimentation across the organization. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired! Conduct market research. Test early and often. Launch the chatbot.

Strategy 290
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What you need to know about product management for AI

O'Reilly on Data

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. Models within AI products change the same world they try to predict.

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How to Set AI Goals

O'Reilly on Data

Technical competence results in reduced risk and uncertainty. Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. There’s a lot of overlap between these factors.

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AI Product Management After Deployment

O'Reilly on Data

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing.

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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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Great Resignation 3.0? Rising workload and skills gap push workers to consider job changes

CIO Business Intelligence

As workers face heightened uncertainty, rising workloads, and continue to confront financial stress, they are prioritizing skills growth and embracing new and emerging technologies such as generative AI to accelerate their careers,” Carol Stubbings, Global Markets and Tax & Legal Services Leader at PwC UK said in the report.

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Generative AI: now is the time to ‘learn by doing’

CIO Business Intelligence

The pattern for success at learning how to create value safely and responsibly is a mindful culture of experimentation and thoughtful “learning by doing.” He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing. Artificial Intelligence, Machine Learning