Report explores the capabilities that distinguish enterprises that are successful with generative and agentic AI.
TDWI Research has released the first of a new type of original research report. Based on survey data as well as focus group data, the TDWI Blueprint Report Building Agentic and Generative AI: Enterprise Data Foundations and Applications features a framework outlining the core capabilities required for enterprise-grade generative and agentic AI.
The reality is that AI applications will reach a wall in terms of value creation without using internal company data.”
— Fern Halper, Ph.D., VP of TDWI Research, TDWI
Written by the VP of TDWI research, Fern Halper, Ph.D., the report explores how organizations can move beyond isolated AI tools toward integrated, governed architectures and which practices are common among those enterprises that are already measuring value from AI.
In the report, Halper says, “The reality is that AI applications will reach a wall in terms of value creation without using internal company data.” She explains that internal data can be used to build AI applications that provide more value, but using it involves multiple technical and organizational capabilities that are explained in the blueprint section of the report.
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Report Highlights
Among this report’s key findings:
• The journey toward generative and agentic AI maturity often follows a series of phases, each with new challenges, but each usually providing more value.
• About 60% of survey respondents claim to be building some custom generative and agentic AI tools, but only around 40% of respondents are reporting measurable value from them.
• Many organizations are experimenting broadly with generative and agentic AI, but relatively few have progressed to architectures and workflows that support reliable, scalable, and governed complex AI systems.
• Leaders describe company data as both a source of value for generative and agentic AI and the source of risk that forces architectural and governance discipline.
• The primary benefit organizations are seeing from generative and agentic AI is productivity gains (63%) followed by faster cycle times (42%).
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The blueprint section of this report includes an in-depth discussion of the entire set of capabilities needed to put generative and agentic applications that use company data into successful production.
