How Thomson Reuters accelerates cloud modernization with AWS Transform | Amazon Web Services
How can AI speed up the work of modernizing legacy code? In this short video, Thomson Reuters describes how it uses AWS Transform, a generative AI-powered solution, to update legacy libraries and codebases faster than manual processes. That speed supports its large-scale cloud modernization and helps its engineers build safely and quickly in the cloud. Watch the video to learn from Thomson Reuters' experience, then contact us to explore AWS Transform for your code.
How is Thomson Reuters using AWS Transform to modernize legacy systems?
Thomson Reuters uses AWS Transform, an AI-powered solution from Amazon Web Services, to modernize legacy libraries and large code bases more quickly than traditional manual work.
Instead of relying solely on engineers to refactor code line by line, AWS Transform applies generative AI to analyze existing legacy code and propose updated, cloud-ready versions. This helps the teams:
- Accelerate code updates: The AI can process and modernize large portions of legacy code significantly faster than manual methods.
- Standardize modernization patterns: Common refactoring tasks and library updates are handled consistently by the AI models.
- Reduce repetitive work for engineers: Developers focus more on reviewing and refining AI-generated changes rather than doing all the refactoring themselves.
In practice, AWS Transform helps Thomson Reuters rethink how they maintain and evolve legacy systems, using generative AI as a force multiplier for their engineering teams.
What business benefits does AWS Transform provide for Thomson Reuters’ cloud journey?
For Thomson Reuters, AWS Transform supports both technical and business goals as they move more workloads to the cloud:
- Faster cloud modernization: By automating much of the legacy code refactoring, AWS Transform helps shorten the time it takes to prepare applications for the AWS Cloud.
- Improved engineering productivity: Engineers spend less time on low-level, repetitive updates and more time on higher-value design and customer-facing improvements.
- Safer, more controlled changes: Using a standardized AI-driven process helps reduce the risk of inconsistent code changes across large, complex systems.
- Better customer experience over time: As legacy systems are modernized more quickly and reliably, Thomson Reuters can more easily introduce new capabilities and enhancements for customers.
While specific numeric metrics were not shared, Thomson Reuters emphasizes that AI-driven modernization via AWS Transform is significantly faster than their previous, largely manual approach.
How does AWS fit into Thomson Reuters’ broader technology strategy?
AWS Transform is one part of a wider AWS ecosystem that supports Thomson Reuters in modernizing and running its technology in the cloud.
More broadly, Amazon Web Services is described as a comprehensive and widely adopted cloud platform, used by:
- Fast-growing startups
- Large enterprises
- Government agencies
Organizations like Thomson Reuters use AWS to:
- Be more agile: Quickly provision and scale infrastructure and services as needs change.
- Lower costs: Shift from capital-intensive infrastructure to pay-as-you-go cloud services.
- Innovate faster: Take advantage of managed services, AI tools like AWS Transform, and a broad software marketplace to build and deploy solutions more quickly.
In this context, AWS Transform helps reimagine how legacy code is updated, while the broader AWS platform provides the cloud foundation, AI capabilities, marketplace solutions, and partner network that support Thomson Reuters’ long-term modernization and innovation plans.
How Thomson Reuters accelerates cloud modernization with AWS Transform | Amazon Web Services
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