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CIOs confront generative AI’s workplace X factor

CIO

Still, to ensure workers gain the most out of the tools, Mayar suggested multimodal LLMs combining structured datasets and unstructured data should be designed smaller and for specific tasks. In the meantime, the daily evolution of generative AI platforms is exciting to developers and eagerly awaited by enterprise executives.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. Source: Forrester Consulting. The interview with Bossa Nova co-founder and CTO Sarjoun Skaff and Brian Heater of TechCrunch.

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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

Except in many enterprises. There is a lot more to machine learning in the enterprise than just the model, which is what many people think of when they hear artificial intelligence. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

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6 generative AI hazards IT leaders should avoid

CIO

Businesses are accountable for the consequences of their choices, and that includes deploying AI in inappropriate areas, says Andi Mann, global CTO and founder of Colorado-based consultancy Sageable. The customer will not let you off the hook for a data breach just because, ‘It was our AI’s fault.’”