Rashmi Tambe

Rashmi Tambe

Service Line Leader
Thoughtworks

With over 23 years of extensive experience in the IT industry, Rashmi has demonstrated her expertise across a diverse range of roles such as leading a service line, spearheading digital services portfolios, strategic consulting, pre-sales, and overseeing large-scale program executions. Rashmi's wealth of experience uniquely positions her to assist clients in navigating challenges related to legacy modernization, cloud strategy, platform engineering, product engineering, and AI/ML solutions.

In her current role, Rashmi serves as the Regional Head of the Enterprise Modernization, Platforms, and Cloud EMPC) service line at Thoughtworks India. In this capacity, she assumes responsibility for crafting differentiated service offerings, developing effective GTM Go-to-Market) strategies, nurturing strategic partnerships, driving thought leadership, generating demand, and enhancing the capabilities of the service line. Beyond her professional achievements, Rashmi is a TEDx and keynote speaker, an avid reader, a blogger, and an enthusiast of quantum computing. She is deeply passionate about promoting women's leadership and has played an integral role in establishing and mentoring women leadership programs throughout her illustrious career.

Session Title

Reviving the Old Guard: Leveraging Generative AI for Legacy Modernization


Session Overview

This session addresses how the emerging technology, generative AI can be a game-changer in revitalizing outdated legacy software systems.

In the fast-evolving landscape of technology, many organizations find themselves burdened with legacy systems that are critical to their operations yet increasingly cumbersome to maintain and update. "Reviving the Old Guard: Leveraging Generative AI for Legacy Modernization" explores the transformative potential of generative AI technologies in the modernization of legacy systems. This talk will delve into how AI can decipher complex, outdated codebases, providing a bridge between traditional software environments and modern frameworks. We'll discuss practical strategies for implementing generative AI tools to automate code analysis, enhance system documentation, and streamline the reverse engineering process. The session will also highlight case studies where generative AI has successfully facilitated the integration of legacy systems with cutting-edge technologies, significantly boosting operational efficiency and innovation. Attendees will gain insights into overcoming common challenges in legacy modernization projects and learn how generative AI can serve as a powerful tool to future-proof and revitalize aging IT infrastructures.

Top takeaways

Enhanced Efficiency: Demonstrating how generative AI significantly streamlines the process of analyzing and refactoring legacy code, leading to faster modernization projects with reduced manual effort and lower costs.

Improved Accuracy: Exploring how AI tools can improve the accuracy of legacy system analyses, ensuring that modernized systems are robust and reliable by accurately identifying dependencies and potential integration issues. The session involves -

  • - Introduction to Legacy Modernization
  • - Challenges of Legacy Systems
  • - Role of Generative AI in Legacy Modernization
  • - Case Studies and Real-World Applications
  • - Future Outlook and Innovations
  • - Q&A and Discussion