We surveyed 300 technology leaders in mostly large organizations in numerous industries to find out how they’re in search of to leverage these opportunities. We also spoke in-depth with a handful of such leaders. They’re all customizing generative AI models and applications, and so they shared with us their motivations for doing so, the methods and tools they’re using, the difficulties they’re encountering, and the actions they’re taking to surmount them.
Our evaluation finds that corporations are moving ahead ambitiously with customization. They’re cognizant of its risks, particularly those revolving around data security, but are employing advanced methods and tools, comparable to retrieval-augmented generation (RAG), to understand their desired customization gains.
