On-Demand Webinar

Turn Mainframe Data Into
Real-Time Intelligence for AI

Organizations are investing heavily in AI, yet many initiatives struggle for one simple reason: the most valuable business data remains trapped in mainframe and legacy systems.

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We hope you find these practical strategies for mainframe performance insightful and actionable.

On-Demand Webinar

Event Recap: Webinar Highlights

We are excited to partner with Pellera and meshIQ on a practical 30-minute session on In this 30-minute session, we partnered with Pellera and meshIQ to explore how organizations are transforming trusted mainframe data into real-time events to power AI, analytics, automation, and modern applications.

Key takeaways from the session:

Unlock valuable business data trapped in mainframe and legacy systems
Provide AI initiatives with trusted, real-time operational data
Modernize without replacing the systems your business depends on
Create AI-ready event streams for analytics, automation, and decision-making
Bridge the gap between legacy infrastructure and modern digital initiatives

Watch the live demonstrations to see:

Real-time integration with mainframe data streaming through Kafka into SQL Server and MongoDB
An AI banking application that pulls live data from VSAM and streams it via Kafka into PostgreSQL, enabling:
- Real-time fraud detection: flagging live transactions as they stream in
- Customer 360: AI-generated summaries from unified customer data
- AI chat: a copilot grounded in live banking records

This session demonstrated how to access existing data to build a real-time data strategy and turn legacy infrastructure into a competitive advantage for AI and modernization initiatives.