Accelerating mainframe modernization at T. Rowe Price with gen AI (MAM116)

Mainframe Modernization at T. Rowe Price with Geni

Overview

  • Presenters: Cameron Jenkins (Accenture), Shri Kai (T. Rowe Price), Joel Rosenberger (Accenture)
  • T. Rowe Price is a $1.61 trillion asset management company founded in 1937, with a wide range of financial products and services.
  • The key drivers for T. Rowe Price's mainframe modernization are:
    • Advancing their cloud strategy to reduce total cost of operation, improve innovation, and deliver new capabilities.
    • Advancing their data strategy to enable data sharing with partners and ecosystems, and building a data lakehouse.
  • Key challenges include reducing time-to-market, increasing business agility, scaling capabilities, and addressing the scarcity of resources with mainframe expertise.

Mainframe Footprint

  • T. Rowe Price's mainframe footprint includes:
    • 2,300 MIPS of compute
    • 57 applications
    • 1 million lines of JCL code
    • 65,000 lines of COBOL code
    • 56 BMS screens
    • 44 VPAES screens
    • 2,000 batch jobs
    • 436 SAS programs
    • 7,000 reports
    • 1 TB of DB2 data and 5 TB of other data

Modernization Approach

  • Three-phase approach:
    1. Discovery: Using Geni AI for reverse engineering, test data generation, and understanding the data footprint.
    2. Architecture and Design: Establishing the target AWS environment, including resiliency, scalability, and integration with distributed systems.
    3. Execution and Deployment: Executing the migration in three waves, with Accenture's support for hypercare.

Geni Usage

  • Geni's capabilities are valuable in the discovery phase to:
    • Understand the business logic in the legacy applications.
    • Generate test data and automation to ensure functional equivalence.
    • Analyze the data model and define the target data taxonomy.

Timeline

  • The mainframe modernization initiative started in 2022, with the first wave completed in 2024 and the remaining two waves planned for 2025.
  • After 2025, T. Rowe Price plans to further leverage Geni's capabilities for application modernization, developer productivity, and other initiatives.

Key Takeaways

  • Mainframe modernization is a strategic initiative for T. Rowe Price, driven by their cloud and data strategies, and supported at the highest levels of the organization.
  • The partnership with Accenture and AWS is crucial, with a focus on a structured methodology that addresses discovery, testing, and deployment.
  • Geni's capabilities are leveraged to mitigate risks and ensure a smooth transition from the mainframe to the cloud environment.
  • Testing is a critical aspect of the modernization process, and Geni helps to generate test data and automation to ensure functional equivalence.

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