GartnerⓇ Research
10 Best Practices for Scaling Generative AI
Across the Enterprise
Unlock the Power of Generave AI: 10 Best Practices for Successful Scaling
Generative AI (GenAI) is poised to revoluonize 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
formulang robust GenAI strategies, choosing the right
approaches and technologies, and overcoming hurdles to
adopon 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 plaorm architecture
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Reports: Gartner, 10 Best Pracces for Scaling Generave 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 publicaons, and does not
advise technology users to select only those vendors with the highest rangs or other
designaon. Gartner research publicaons consist of the opinions of Gartner’s research
organizaon and should not be construed as statements of fact. Gartner disclaims all
warranes, expressed or implied, with respect to this research, including any warranes of
merchantability or fitness for a parcular purpose.
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