Ensuring Trust in the AI Era: Integrating LLMs with Data Catalogs

AI language models are now processing vast amounts of corporate data, delivering insights faster than ever. In their upcoming webinar, EDM Council and data.world will discuss how you CAN trust AI systems using LLMs when they’re guided by a foundation of strong governance and accountability.

The webinar will explore how to build trustworthy systems out of untrustworthy components. Large Language Models (LLMs) can be powerful tools when harnessed effectively, but their unpredictability can create challenges — much like musicians needing a skilled conductor to bring everything into harmony. We’ll discuss how organizations can implement governance and data catalog frameworks that act as the ‘conductor,’ ensuring AI systems work transparently, reliably, and in compliance with regulations. Industry experts will share insights on building AI systems that integrate LLMs, emphasizing the need for governance, data lineage, and quality control to maintain trust in these systems.

Federal agencies that already have already implemented a data catalog can gain insights into how to leverage that investment to establish trust in LLM-based AI initiatives.

The session will cover:

• The challenges of integrating unpredictable LLMs into enterprise data workflows
• How data catalogs provide the governance, lineage, and quality control essential for trustworthy AI systems
• A practical demonstration of building trust in an LLM-based system for regulatory compliance
• Strategies for ensuring data integrity and transparency in AI-driven decision-making processes