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Organizations continue to see an increase in the number of data sources they extract data from to drive AI, analytics, and BI initiatives. As shown in Figure 1, 24% of respondents reported a significant increase in sources, with another 51% also seeing a slight increase. Managing varied and growing sources as a foundation for AI is a growing challenge faced by organizations.1 |
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Figure 1. Data Sources Continue to Increase for Organizations |
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Source: Enterprise Strategy Group, a division of TechTarget, Inc. |
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A significant contingent of organizations (71%) expected to implement 11 or more generative AI applications, including AI agents or other use cases using enterprise data and retrieval-augmented generation (RAG) within the next 24 months—with 14% planning for 50 to more than 100 use cases, indicating a major scale-up for many organizations. These findings reflect the steady adoption of RAG as enterprises leverage data to enhance AI capabilities (see Figure 2).2 |
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Figure 2. Significant Plans to Build Generative AI Solutions With Enterprise Data |
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Source: Enterprise Strategy Group, a division of TechTarget, Inc. |
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1. Source: Enterprise Strategy Group Complete Survey Results, Data Governance in the Age of AI, June 2024. |
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2. Source: Enterprise Strategy Group Research Report, Rethinking Database Requirements in the Age of AI, February 2025. |
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