GartnerⓇ Research
10 Best Practices for Scaling Generative AI
Across the Enterprise

Unlock the Power of Generative AI: 10 Best Practices for
Successful Scaling

Generative AI (GenAI) is poised to revolutionize businesses across industries, offering unprecedented opportunities for innovation, efficiency, and growth. However, many organizations struggle to scale their GenAI initiatives successfully due to a lack of understanding of emerging best practices and the rapid evolution of the technology landscape.

This Gartner research, based on more than 1,000 inquiries and interviews with enterprise leaders and vendors, we feel,  uncovers the key challenges faced by technology leaders in formulating robust GenAI strategies, choosing the right approaches and technologies, and overcoming hurdles to adoption and scaling.

Read the research to learn how to:

     –  Establish a continuous process to prioritize use cases

     –  Create a decision framework for build versus buy

     –  Design a composable GenAI platform architecture

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner Reports: Gartner, 10 Best Practices for Scaling Generative AI Across the Enterprise, Arun Chandrasekaran, Leinar Ramos, Alberto Pietrobon, 10 January 2024. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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