Nasdaq’s Agentic Journey: A Case Study in MCP-Driven Innovation

About this session

The enterprise demand for Generative AI is rapidly evolving from conversational interfaces to action-oriented systems. Users don’t just want to chat with AI; they want it to perform tasks. This session details Nasdaq’s strategic journey from a static Retrieval-Augmented Generation (RAG) platform to a proactive, agentic ecosystem capable of executing complex workflows. We will explore how adopting the Model Context Protocol (MCP) catalyzed this transformation by providing a standardized framework for integrating enterprise tools. Attendees will learn how this approach enabled us to move beyond theoretical concepts to deliver tangible value, turning our GenAI platform into a dynamic “do-bot”. The presentation will showcase how we enhanced the user experience by creating seamless, in-conversation interactions that replaced cumbersome traditional interfaces. This talk provides a proven model for building an agentic foundation that positions an organization at the forefront of the GenAI landscape, supported by key results in platform adoption and productivity.

Speaker

Key takeaways

  • nterprise AI is shifting from passive Q&A (RAG-based chat) to agentic systems that actively execute tasks and workflows, turning GenAI platforms into "do-bots" that deliver tangible business value.
  • Adopting the Model Context Protocol (MCP) provided a standardized framework for integrating enterprise tools, enabling the leap from static retrieval to a proactive, agentic ecosystem capable of handling complex operations.
  • Replacing cumbersome traditional interfaces with in-conversation interactions dramatically improved the user experience, resulting in measurable gains in platform adoption and productivity.

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