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There is hardly an enterprise organization that isn’t looking to enhance its operations internally and externally by deploying future-ready AI programs and harnessing the full potential of Generative AI. But given the scale and complexity of government, some common obstacles that impede the data agility of the average enterprise such as data silos, legacy systems, regulatory compliance issues, and diverse data formats from multiple sources become even more stifling for mission-critical work. The solution lies in data fabric, a key enabler that connects disparate data sources, formats, and structures. Enhanced by data virtualization, data fabric serves as a crucial foundation, securely facilitating easy access to and integration of structured and semi-structured data offering the promise of real-time accessibility. This empowers Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with a simplified yet comprehensive view of the organization’s informational landscape.

This session will explore how the integration of data fabric, RAG, and LLMs can transform the delivery of information to non-technical data users. We will discuss essential platform capabilities necessary to realize a Gen AI-enabled future, including intelligent autonomous agents and on-demand enterprise data querying. Furthermore, in an era where access to LLMs is widespread and foundational models are universally used, we will demonstrate how data agility can provide a strategic decision-making advantage.

Speaker

TERRY DORSEY

Sr. Data Architect & Evangelist, Denodo