A data leader's operating guide to scaling gen AI.

Autor:	Singla, Alex, Tavakoli, Asin, Harreis, Holger, Rowshankish, Kayvaun, Hjartar, Klemens
Předmět:	LANGUAGE models GENERATIVE artificial intelligence ARTIFICIAL intelligence CHIEF data officers QUALITY control TASK forces
Zdroj:	McKinsey Insights; 9/12/2024, pN.PAG-N.PAG, 1p
Abstrakt:	This article from McKinsey Insights discusses the importance of creating a well-defined operating model for deploying generative AI (gen AI) in the enterprise. It highlights two common traps that data leaders often fall into when creating gen AI operating models: focusing on technology without a clear business purpose, and conducting disparate gen AI projects without coordination. The article provides practical guidance on designing a gen AI operating model around components and choosing between extending an existing team or building a distinct gen AI team. It also emphasizes the need for clear communication and coordination among stakeholders. The article discusses the importance of data management and governance in implementing gen AI, including the need for a centralized IT team to establish a common technology infrastructure. It also explores different approaches to gen AI development and emphasizes the need for risk and compliance governance. The article concludes by emphasizing the importance of data organization and coordination in successful gen AI deployments. [Extracted from the article]
Databáze:	Complementary Index
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