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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

Solution overview In MLOps, a successful journey from data to ML models to recommendations and predictions in business systems and processes involves several crucial steps. It involves taking the result of an experiment or prototype and turning it into a production system with standard controls, quality, and feedback loops.

Analytics 113
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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

AWS Machine Learning

By tailoring recommendations based on individuals preferences, the solution guides customers toward the best vehicle model for them. Simultaneously, it empowers vehicle manufacturers (original equipment manufacturers (OEMs)) by using real customer feedback to drive strategic decisions, boosting sales and company profits.

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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

As we continue to develop this feature to meet our customers’ needs, there are a few points to be aware of: Define your test suite and acceptance metrics before starting the journey. Best practices to consider: This feature brings significant advantages for hosting your fine-tuned models efficiently.

APIs 128