Experts from Pegasystems and AWS reveal how AI-powered tools now modernize decades-old mainframe systems in weeks instead of years—unlocking trapped data faster than ever.

Topics Include:

  • Session covers accelerating mainframe modernization using AWS Transform and Pega Blueprint
  • Agenda: challenges, joint solution, value prop, customer story, rollout mechanism
  • Mainframe costs rise 20-30% yearly, straining IT budgets significantly
  • Monolithic systems create long time-to-market, hurting competitiveness against newer rivals
  • Mainframe data stays locked away, blocking AI adoption and innovation
  • Retiring mainframe skills outpace new workforce training, compounding the problem
  • AI now enables analyzing decades-old code bases within weeks, not years
  • AWS Transform extracts business logic; Pega Blueprint visualizes modernized target applications
  • Five-step journey: Transform, Pega Foundry, Blueprint, then deployment via Infinity platform
  • Three Transform agents handle code, data, and activity analysis separately
  • Data analysis covers data lineage and data dictionary schema extraction
  • Outputs feed a knowledge graph, enabling natural language queries anytime
  • Transform deterministically identifies distinct data paths from mainframe systems
  • Data paths get grouped into business functions, each modernizable independently
  • Final steps extract business logic and generate plain-English requirements
  • Blueprint agent enriches Transform outputs, enabling intuitive workflow design
  • Blueprint offers runtime previews and is publicly accessible at pega.com
  • Pega Infinity platform handles both batch and online mainframe workloads
  • Insurance company Unum modernized 1.5M lines of COBOL in three months
  • Experience-Based Acceleration program delivers modernized, working code within four-to-six weeks


Participants:


See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

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