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(DT)

Stream: AppDev
Time: 16:30 - 17:15


Presentation

Many organizations rely on legacy mainframe systems that house critical business rules embedded within decades-old applications. However, uncovering and understanding these rules can be challenging due to outdated documentation, system complexity, and workforce turnover. Business rules are typically spread across many programs, and it is difficult to determine their exact scope and meaning. This session will explore how application discovery and generative AI capabilities can be leveraged to analyze mainframe applications, identify hidden business logic, and extract these critical business rules for modernization efforts. We will discuss automated tools and methodologies, such as static and dynamic analysis, code mining, and AI-driven insights, to accelerate business rule identification and extraction. Attendees will gain practical insights into how organizations can unlock the value of their mainframe applications, streamline modernization initiatives, and improve decision-making through a deeper understanding of their business logic.

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Speakers


  • Suman Gopinath at IBM
  • Email: suman.gopinath@ibm.com

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