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Video security analysis for privileged access management using generative AI and Amazon Bedrock

AWS Machine Learning Blog

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. About the authors Ken Haynes is a Senior Solutions Architect in AWS Global Financial Services and has been with AWS since September 2022.

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How the UNDP Independent Evaluation Office is using AWS AI/ML services to enhance the use of evaluation to support progress toward the Sustainable Development Goals

AWS Machine Learning Blog

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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Five machine learning types to know

IBM Journey to AI blog

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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Build well-architected IDP solutions with a custom lens – Part 6: Sustainability

AWS Machine Learning Blog

Choose a Region powered by 100% renewable energy – From your shortlist, identify Regions close to Amazon’s renewable energy projects and Regions where, in 2022, the electricity consumed was attributable to 100% renewable energy. Effectively manage your data and its lifecycle Data plays a key role throughout your IDP solution.

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