Discover how to build a scalable semantic architecture to enable AI-ready data in this webinar featuring Ritu Arora of Bristol Myers Squibb and Laurie Nelsen of TopQuadrant, formerly Mayo Clinic. Learn practical strategies for metadata management, semantic enrichment, and cross-domain data discovery. Get actionable steps to prepare your teams and data for AI initiatives, no matter your current maturity. Leave with a clear roadmap to stress less and scale more in your AI journey.

Join Jessica Talisman, Holger Knublauch, Boris Pelakh, Pete Rivett, and Mike Pool for a panel discussion on the evolving roles of OWL and SHACL in semantic modeling. Explore how these two approaches—once seen as competing—can complement each other in building knowledge-based systems and ontologies. Hear insights from leading experts, including the co-creator of the SHACL W3C standard, and get guidance on choosing and combining these standards for your projects. Gain practical clarity to navigate the future of semantic technology.

Your content—including videos, images, documents, and spreadsheets—holds the answers that your teams and AI need in order to learn and drive better customer experiences. However, extracting this knowledge and finding the right content, especially across systems like SharePoint, AEM, Collibra, or Databricks, can be nearly impossible. Content is tagged manually and inconsistently from system to system, leading to wasted time, poor discoverability, and ultimately bad customer experiences.Discover how automated tagging, controlled vocabularies, and knowledge graphs can help you turn your content into a strategic enterprise-wide initiative, ensuring visibility, consistency, and governance across your entire content ecosystem.

This session explores Graph Retrieval-Augmented Generation (Graph RAG), combining knowledge graphs with LLMs for improved accuracy, governance, and scalability. Using medical journal data, we demonstrate how semantic search, controlled vocabularies, and structured metadata refine retrieval and enhance AI-driven insights.See a step-by-step build of a Graph RAG application with Databricks, Weaviate, and TopBraid EDG, plus real-world applications in drug discovery, biomedical research, and compliance. Learn how knowledge graphs bring transparency, explainability, and domain expertise to AI.

Managing policies can be complex, but it doesn’t have to be. Discover how your organization can simplify and accelerate your approach to policy and compliance enforcement, making it easier to align data with business terms, regulatory requirements, and financial reporting standards. In this webinar, Norm Friend, Senior Semantic Solutions Engineer at TopQuadrant, will explain how a more agile and efficient approach to compliance allows for quick and flexible policy management across your organization.

Join Norm Friend, Sr. Semantic Solutions Engineer, and Steve Hedden, Product Manager to explore how our latest features, auto-tagging and crosswalks, can elevate your data strategy and leverage AI technologies within TopBraid EDG. Learn how these innovations enhance content discovery, support digital assistants, and improve data governance. Discover practical use cases and see how our tools can transform and accelerate your approach to data management with confidence.

Are you looking for practical strategies to overcome resistance to semantic adoption? Want to know how to turn your data into a strategic asset?Learn from Jessica Talisman, Adobe, and TQ’s own Norm Friend and Laurie Nelsen, about how to lead your team to success with semantic innovation. Discover tips on how to become a semantic champion within your organization and why this role is crucial for the future of data and GenAI.Register now and take the first step towards becoming a semantic champion!

Today’s data leaders are at a critical juncture: they are an integral part of enabling GenAI initiatives that could disrupt many business operations and industries, but are also saddled with a massive influx of data that traditional data management approaches struggle to deal with. Join us as data leaders frame how semantics and knowledge graphs offer a path of preparation for Enterprise-grade Generative AI. Topics will include discussion of data-centric approaches that improve efficiency, data reusability, knowledge management, and help your organization become “AI ready.”