The new paradigm: Architecting the data stack for AI agents

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VentureBeat 16h ago

The new paradigm: Architecting the data stack for AI agents - VentureBeat

Quick Summary:

Over the last few months, multiple startups and large-scale organizations – like Salesforce and SAP – have started moving to the next phase of so-called “agentic systems.” These agents transition enterprise AI from a prompt-based system capable of leveraging internal knowledge (via RAG) and answering business-critical questions to an autonomous, task-oriented entity.

However, when AI sprung into action, this untapped, unstructured data became an instant value store, allowing organizations to power a variety of use cases, including generative AI applications like chatbots and search systems.

That said, while the rise of AI agents represents a transformative shift in how enterprises can leverage automation and intelligence to streamline operations, the success of these projects will directly depend on a well-architected data stack.