AI is everywhere, but how does it actually apply to IBMi? In this session, we’ll cut through the buzzwords to show you how AI agents can “speak IBMi” and transform your decades of business-critical data into modern analytics.

What You’ll Learn:

– Why unlocking IBMi data is critical for competitive advantage and operational efficiency

– How agentic AI can decode the semantic structure of IBMi data: from cryptic table names and journals to business meaning

– Practical techniques for building AI agents that understand IBMi’s unique data language

– How to orchestrate modern data pipelines into platforms like Snowflake, Databricks, Tableau and Thoughtspot

– Smart automation strategies for translating from IBMi’s native structures to contemporary analytics frameworks

Your IBMi data speaks a unique language packed with decades of business logic, journals, and custom code. Now AI agents can finally understand it. Join us to discover how to harness this understanding to automate pipelines, accelerate reporting, and deliver a practical roadmap with real examples that unlock immediate business value from your IBMi infrastructure.