Intelligent CIO North America Issue 6 - Page 49


es AWS to power

The decision to use these AWS resources enabled Thomson Reuters to complete this migration project five months ahead of schedule . By leveraging AWS Managed Services , Thomson Reuters moved hundreds of mission-critical , legacy applications from across their global business units to the cloud and into production quickly . To further streamline this migration , Thomson Reuters leveraged the AWS Marketplace to access simplified software contracting services to rapidly procure and integrate its preferred third-party software into their AWS environment .
Additionally , Thomson Reuters has developed an internal platform to apply Machine Learning at scale using Amazon SageMaker – AWS ’ s service for building , training and deploying Machine Learning models in the cloud and on the Edge – to help developers and data scientists quickly gain new insights from real-time and historical data in a fully managed and secure environment . The platform saves developers and data scientists countless hours of coding by providing all of the components used for Machine Learning in a single toolset so models get to production faster with much less effort and at a lower cost , enabling Thomson Reuters to deliver new , intelligent solutions for their customers .
Thomson Reuters uses Amazon SageMaker to automatically shut down GPU instances when a training job is done and leverages Amazon Elastic Compute Cloud ( Amazon EC2 ) Spot Instances – unused EC2 capacity that is available at up to a 90 % discount compared to On-Demand prices – to reduce the cost of Machine Learning model inference .
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