Rio Tintos data science team saw an opportunity to preserve institutional knowledge and improve developer productivity by modernizing a legacy codebase. Rather than attempting a full system overhaul, the team focused first on adding generative AI capabilities to their critical legacy application. By using the proven, open, and trusted data foundation of AWS, the company laid the groundwork for incremental modernization without disrupting core operations. Learn about model fine tuning against legacy codebases, Amazon Nova, SageMaker Jumpstart and AgentCore in this deep dive with AWS & Rio Tinto
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