Presentation
Allow AI Agents & LLMs to Securely Discover, Query and Consume Mainframe Data in Real Time
Contributor
Event Type
Technical Session
Databases
Hybrid Cloud
Machine Learning/AI
Introductory
Modernize Data Management and Analytics
TimeWednesday, August 191:15pm - 2:15pm EDT
LocationRoom 320
DescriptionMainframe systems remain the backbone of critical enterprise operations — from banking and insurance to government and healthcare. Yet the data locked inside the databases is largely invisible to the new generation of AI platforms, agents, and large language models that are transforming how organizations make decisions.
This session bridges the gap between mainframe reality and AI innovation by demystifying the agentic AI landscape, why enterprises need to evolve from traditional automation, and how to use structured, real-time access to enterprise data to deliver value.
The session delivers a live demonstration of a common enterprise use case, showing how mainframe-hosted employee data is exposed to AI agents through an MCP Server, without any data migration or replication. You will see AI agents query, join, and reason over employee data in real time — building complete Employee 360 profiles by orchestrating calls across multiple tables, and powering a Multi-Agent HR Insights Dashboard where specialized agents collaborate to answer complex workforce questions using natural language.
Whether you are a mainframe architect exploring AI integration paths, an IT leader building a modernization strategy, or a practitioner curious about what agentic AI means for your platforms — this session provides a concrete, working blueprint for connecting your most valuable data assets to your AI ecosystem without disrupting the systems that run your business.
This session bridges the gap between mainframe reality and AI innovation by demystifying the agentic AI landscape, why enterprises need to evolve from traditional automation, and how to use structured, real-time access to enterprise data to deliver value.
The session delivers a live demonstration of a common enterprise use case, showing how mainframe-hosted employee data is exposed to AI agents through an MCP Server, without any data migration or replication. You will see AI agents query, join, and reason over employee data in real time — building complete Employee 360 profiles by orchestrating calls across multiple tables, and powering a Multi-Agent HR Insights Dashboard where specialized agents collaborate to answer complex workforce questions using natural language.
Whether you are a mainframe architect exploring AI integration paths, an IT leader building a modernization strategy, or a practitioner curious about what agentic AI means for your platforms — this session provides a concrete, working blueprint for connecting your most valuable data assets to your AI ecosystem without disrupting the systems that run your business.
Contributor
AI Architect