Felix Liao
As enterprise AI initiatives move from experimentation to production, existing data and analytics teams are under pressure to support new AI-driven experiences — from self-service chatbots to AI agents and assistant-based workflows — while still maintaining governance, security, consistency, and control. For many organizations, the challenge is not simply adopting new AI capabilities or newer models, but understanding how they fit into existing data architectures, user workflows, and business priorities.
Join Felix Liao, director of Product Management at Denodo, for a practical update on Denodo’s latest product capabilities and how they can help organizations support emerging AI deployment patterns and use cases. This session will cover recently released capabilities, including the Denodo Data Marketplace chatbot, new agent integration patterns through Denodo’s MCP offerings, and the newly released Denodo MCP Connector for Claude Desktop and VQL Generation Skill. Felix will also explain how Denodo’s product positioning is evolving to better support different personas, use cases, and adoption paths.
Whether you are responsible for data architecture, AI delivery, or platform strategy, this session will explain what is available today and where these capabilities can add value and accelerate agentic AI development and deployment.
In this session, you’ll learn:
- What new Denodo capabilities have recently been released and how they can be applied to practical customer use cases and requirements
- How the Denodo Data Marketplace chatbot can improve data discovery, self-service, and user engagement
- How AI agents can benefit from the context, governance, and tools offered through Denodo MCP, and the Denodo MCP Connector for Claude Desktop
- How Denodo is evolving its capabilities to support different personas, including data teams, business users, architects, and AI application teams
