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. But here’s the key point: You can’t trust an LLM. However, you CAN trust AI systems using LLMs when they’re guided by a foundation of strong governance and accountability.

Join EDM Council and data.world for our upcoming webinar where we’ll 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.

In this session, 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. We’ll delve into real-world examples and case studies, demonstrating practical approaches to managing LLMs while maintaining control and accountability.

Here’s what we’ll 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

Through diverse case studies, this webinar will provide a deeper understanding of how organizations across industries are navigating the complexities of AI-powered enterprise data management. Whether you’re a CTO looking to deploy advanced AI solutions or a CFO concerned about regulatory risks, you’ll walk away with actionable strategies for fostering trust and governance in AI systems.

This is an opportunity to gain insights into the intersection of AI and data governance, learning from real-world challenges and solutions that are shaping the future of enterprise data management.