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Gen AI in 2025: Playtime is over, time to get practical

CIO Business Intelligence

Generative AI playtime may be over, as organizations cut down on experimentation and pivot toward achieving business value, with a focus on fewer, more targeted use cases. Would you really rather have10,000 enterprises go off and try to build a customer support agent and an HR agent, and a finance agent?

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Practical Skills for The AI Product Manager

O'Reilly on Data

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

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GPT-4 Capable of Doing Autonomous Scientific Research

Analytics Vidhya

Artificial Intelligence (AI) has revolutionized several fields, from healthcare and finance to gaming and transportation. However, the use of AI in scientific research was a topic of debate among scientists. The model can design, […] The post GPT-4 Capable of Doing Autonomous Scientific Research appeared first on Analytics Vidhya.

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Liberty Mutual CIO Monica Caldas on developing a digital-savvy workforce

CIO Business Intelligence

Whether you’re in claims, finance, or technology, data literacy is a cornerstone of our collective accountability. This initiative offers a safe environment for learning and experimentation. Simultaneously, on the offensive side, we’ve launched our internal Liberty GPT instance. We’ve structured our approach into phases.

Insurance 120
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AI Has an Uber Problem

O'Reilly on Data

To the extent that entrepreneurial funding is more concentrated in the hands of a few, private finance can drive markets independent of consumer preferences and supply dynamics. The risk of these deals is, again, that a few centrally chosen winners will quickly emerge, meaning there’s a shorter and less robust period of experimentation.

Marketing 236
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GenAI sticker shock sends CIOs in search of solutions

CIO Business Intelligence

The early bills for generative AI experimentation are coming in, and many CIOs are finding them more hefty than they’d like — some with only themselves to blame. According to IDC’s “ Generative AI Pricing Models: A Strategic Buying Guide ,” the pricing landscape for generative AI is complicated by “interdependencies across the tech stack.”

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. However, it is far from perfect, since it certainly does not have reasoning skills, and it also loses its “train of thought” after several paragraphs (e.g.,