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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

Their research indicates that zero-shot CoT, using the same single-prompt template, significantly outperforms zero-shot FM performances on diverse benchmark reasoning tasks. For more details about training LLMs on SageMaker, refer to Training large language models on Amazon SageMaker: Best practices and SageMaker HyperPod.

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3 ways to use a ‘listen-and-learn’ approach to drive alignment and growth

Totango

For Waystar, a technology platform that simplifies payments across the revenue cycle for healthcare organizations, this consultative approach unlocked cross-functional alignment, customer satisfaction, and exponential business growth. So, how did they do it?

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