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Book Overview & Buying
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Table Of Contents
Architectures for the Intelligent AI-Ready Enterprise
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Data is the foundation for turning GenAI into measurable business outcomes. AI-enabled capabilities such as vector-encoding of unstructured data, real-time synthesis across silos, and agents-in-the-loop are changing how we transact business. Enterprises that master these capabilities can move from reactive, siloed decisions to proactive, intelligence-driven operations, responding to market changes in real time, lowering operational expenses, and driving stronger customer outcomes.
Augmenting and automating business workflows with agents-in-the-loop places increased demands on the underlying data layer. Agents may access and analyze a myriad of siloed sources, build rich context, and inform business decisions. But where does that context persist? How can business users view, interact with, or even edit that information?
To support this evolution, enterprises must move beyond static systems of record, which passively store and serve data, toward dynamic...
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