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

AWS Machine Learning

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. All these capabilities are built to help multiple lines of business innovate with speed and agility while governing at scale with central controls.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Talk with AWS experts in 14 different industries and explore industry-specific generative AI use cases, including demos from advertising and marketing, aerospace and satellite, manufacturing, and more. Paxton Hall is a Marketing Program Manager for the AWS AI/ML Community on the AI/ML Education team at AWS.

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What is Call Center Compliance?

NobelBiz

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. By adhering to SOX regulations, call centers contribute to maintaining integrity and trust in financial markets.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This improves efficiency and allows larger contexts to be used. This supports safer adoption.