How to cut costs and shrink transformation timelines.
Learn from Thomson Reuters' experience using AWS Transform to turbocharge .NET modernization. Read the story to discover how the enterprise:
- Uses AI-driven automation to accelerate .NET modernization
- Reduce costs and technical debt while improving performance
- Shorten transformation timelines from months to weeks
AWS Transform is a tool designed to help tech teams modernize and refactor large legacy systems at scale using generative AI. For Thomson Reuters, it enabled the modernization of .NET applications, accelerating their transformation speed by four times and allowing them to modernize 1.5 million lines of code each month.
How did Thomson Reuters improve efficiency?
Thomson Reuters was able to cut application transformation time from months to just one two-week sprint and reduce technical debt by 50% by transitioning from the .NET framework to cross-platform .NET. Additionally, they moved from Windows to Linux, resulting in a 30% reduction in costs.
What role does generative AI play in modernization?
Generative AI plays a crucial role in the modernization process by enabling AWS Transform to perform complex tasks such as asset discovery, codebase analysis, planning, and code refactoring. This allows Thomson Reuters to streamline their engineering workflows and enhance their overall development speed.
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