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Deliver Data and Agentic AI at Scale
Get Forrester’s perspective on what it takes to deliver data and AI at scale. The report explains how a connected, AI-first data strategy helps teams make data available where work happens, across cloud environments and devices, so they can build, run, and govern AI with confidence.
Executive summary
AI is changing where and how work gets done. Instead of running in one central system, AI is increasingly embedded across cloud environments, applications, and devices. That shift puts new pressure on data strategy: teams need more than centralized data stores, they need a way to deliver the right data to the right place, in real time.
This Forrester report introduces the Connected Intelligence Framework, a practical model for technology and data leaders building for distributed AI.
It outlines how practices, partnerships, and platforms work together to support data and AI at scale, and walks through eight steps from sourcing data to monitoring models in production.
Key takeaways
Update your data strategy for an AI-first world: move beyond storing data centrally and focus on making it available where AI runs, across cloud and edge environments.
Use the three Ps to support growth: agile practices such as DataOps and ModelOps, cross-functional expert teams, and platforms that help govern data from end to end.
Apply Forrester’s eight-step framework to move from data sourcing through model monitoring, with clearer guidance for production-ready AI.
Build trust and governance into each stage so AI systems stay accurate, transparent, and compliant as they scale.
*Information in Forrester publications is based on Forrester’s efforts to compile and analyze the best resources reasonably available to Forrester at any given time. Opinions reflect judgment at the time and are subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance.
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