AWS re:Invent 2025 - Scale modernization with agentic AI featuring Thomson Reuters (MAM334)

AWS re:Invent 2025 - Scale modernization with agentic AI featuring Thomson Reuters (MAM334)

Overview

This presentation from AWS re:Invent 2025 showcases how Thomson Reuters leveraged agentic AI to drive their cloud migration and modernization efforts at scale. The session highlights the key strategies, technologies, and business impact of Thomson Reuters' journey to the cloud, with a focus on the role of AI-powered automation and intelligence.

Modernization Challenges

• Thomson Reuters, a leading global provider of business information services, faced significant challenges in modernizing their legacy on-premises infrastructure and applications.
• Legacy systems were complex, siloed, and difficult to maintain, hindering the company's ability to innovate and respond to changing market demands.
• Manually migrating and modernizing these systems was time-consuming, error-prone, and required significant IT resources.

Agentic AI-Powered Modernization

• To address these challenges, Thomson Reuters adopted an agentic AI-powered approach to cloud migration and application modernization.
• Agentic AI refers to AI systems that can autonomously analyze, plan, and execute complex tasks with minimal human intervention.
• Key components of Thomson Reuters' agentic AI-powered modernization strategy include:
  • AI-driven discovery and assessment: Intelligent agents scanned Thomson Reuters' entire IT landscape, identifying and cataloging all applications, dependencies, and infrastructure.
  • Automated migration planning: AI algorithms analyzed the discovery data to create optimized migration plans, including sequencing, resource allocation, and risk mitigation.
  • Autonomous migration execution: Intelligent agents handled the end-to-end migration process, including provisioning cloud resources, replatforming applications, and validating successful migrations.
  • Continuous optimization: AI-powered monitoring and optimization continuously improved the modernization process, identifying and addressing bottlenecks and inefficiencies.

Business Impact

• Thomson Reuters was able to migrate and modernize their entire IT landscape in just 18 months, a process that would have taken several years using traditional manual methods.
• The agentic AI-powered approach resulted in a 45% reduction in migration costs and a 30% improvement in application performance and reliability.
• By leveraging the scalability and flexibility of the cloud, Thomson Reuters was able to launch new products and services faster, improving their competitive position in the market.
• The increased agility and responsiveness enabled by the modernized IT infrastructure allowed Thomson Reuters to better serve their global customer base and adapt to changing market conditions.

Technical Innovations

• Thomson Reuters utilized a range of AWS services to power their agentic AI-powered modernization, including:
  • AWS Lambda: Serverless functions for automated migration tasks and event-driven workflows
  • Amazon SageMaker: Machine learning platform for developing and deploying the AI models
  • Amazon EventBridge: Serverless event bus for integrating and orchestrating the various modernization components
  • AWS CloudFormation: Infrastructure-as-code for provisioning and managing cloud resources
• The company also developed custom AI models and algorithms to handle complex migration planning, execution, and optimization challenges.

Lessons Learned and Best Practices

• Establish a clear vision and roadmap for modernization, with buy-in from executive leadership.
• Invest in building a strong AI and automation capabilities, including skilled talent and robust data infrastructure.
• Adopt a modular, microservices-based architecture to enable incremental modernization and minimize disruption.
• Continuously monitor and optimize the modernization process, leveraging AI-powered insights to drive continuous improvement.
• Foster a culture of innovation and experimentation, empowering teams to explore new technologies and approaches.

Conclusion

Thomson Reuters' successful adoption of agentic AI-powered modernization demonstrates the transformative potential of AI and automation in driving large-scale cloud migration and application modernization initiatives. By leveraging the scalability, flexibility, and intelligence of AI, Thomson Reuters was able to overcome the challenges of legacy IT infrastructure and accelerate their journey to the cloud, unlocking new business opportunities and enhancing their competitive edge.