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Industry Standards for Remote Interpreter Qualification and Vetting

Voiance

Working in the business world or for a government agency generally requires education, certification, and vetting to ensure trustworthiness. The reason is obvious: providing services often involves handling people's personal and financial information.

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Establishing an AI/ML center of excellence

AWS Machine Learning

Organizations across industries face numerous challenges implementing generative AI across their organization, such as lack of clear business case, scaling beyond proof of concept, lack of governance, and availability of the right talent. What is an AI/ML CoE?

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning

The workflow processes a patient health information package containing three distinct document types: Structured document A new patient intake form with standardized fields for personal information, medical history, and current symptoms. He works with government-sponsored entities, helping them build AI/ML solutions using AWS.

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Learn how to assess the risk of AI systems

AWS Machine Learning

These services are designed to support our customers in unlocking the emerging capabilities of generative AI, including enhanced creativity, personalized and dynamic content creation, and innovative design. She also helps internal teams and customers meet evolving AI industry standards. About the Authors Mia C.

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5 Insights About Sourcing and Developing Strategic Partnerships

BlueOcean

The program will dictate how frequently the company and supplier meet for business reviews (I recommend quarterly; annually at the very least) and will set the stage for expectations and governance. If they dont care about our mission, or if their own values are misaligned with ours, then we know to walk away.

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

AWS Machine Learning

It partners with healthcare providers, startups, universities, and other companies to develop technology that helps doctors make more precise diagnoses and deliver more personalized treatment for millions of people worldwide. However, innovation was hampered due to using fragmented AI development environments across teams.