AWS Machine Learning Blog This post is co-written with Marc Neumann, Amor Steinberg and Marinus Krommenhoek from BMW Group. The BMW Group – headquartered in Munich, Germany – is driven by 149,000 employees worldwide and manufactures in over 30 production and assembly facilities across 15 countries. Today, the BMW Group is the world’s leading manufacturer […]Continue reading
AWS Machine Learning Blog This post was co-written with Greg Benson, Chief Scientist; Aaron Kesler, Sr. Product Manager; and Rich Dill, Enterprise Solutions Architect from SnapLogic. Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. This use case highlights how large language models […]Continue reading
AWS Machine Learning Blog This post is cowritten with Ming (Melvin) Qin, David Bericat and Brad Genereaux from NVIDIA. Medical imaging AI researchers and developers need a scalable, enterprise framework to build, deploy, and integrate their AI applications. AWS and NVIDIA have come together to make this vision a reality. AWS, NVIDIA, and other partners […]Continue reading
AWS Machine Learning Blog This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. Additional Schneider Electric experts include Jesse Miller, Somik Chowdhury, Shaswat Babhulgaonkar, David Watkins, Mark Carlson and Barbara Sleczkowski. Enterprise Resource Planning (ERP) systems are […]Continue reading
AWS Machine Learning Blog This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. The analysis that inspired this post was originally written by Jennifer Reiber Kyle. Amazon SageMaker geospatial capabilities combined with Planet’s satellite data can be used for crop segmentation, and there […]Continue reading
AWS Machine Learning Blog This post is co-written with Ilan Geller and Shuyu Yang from Accenture. Enterprises today face major challenges when it comes to using their information and knowledge bases for both internal and external business operations. With constantly evolving operations, processes, policies, and compliance requirements, it can be extremely difficult for employees and […]Continue reading
AWS Machine Learning Blog This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. In this blog post, we demonstrate how Duke Energy, a Fortune 150 company headquartered in Charlotte, NC., collaborated […]Continue reading
AWS Machine Learning Blog This is a guest blog post co-written with Ben Veasey, Jeremy Anderson, Jordan Knight, and June Li from Travelers. Satellite and aerial images provide insight into a wide range of problems, including precision agriculture, insurance risk assessment, urban development, and disaster response. Training machine learning (ML) models to interpret this data, […]Continue reading
AWS Machine Learning Blog This post is cowritten by Shirsha Ray Chaudhuri, Harpreet Singh Baath, Rashmi B Pawar, and Palvika Bansal from Thomson Reuters. Thomson Reuters (TR), a global content and technology-driven company, has been using artificial intelligence (AI) and machine learning (ML) in its professional information products for decades. Thomson Reuters Labs, the company’s […]Continue reading
AWS Machine Learning Blog This blog post is co-written with Tuana Çelik from deepset. Enterprise search is a critical component of organizational efficiency through document digitization and knowledge management. Enterprise search covers storing documents such as digital files, indexing the documents for search, and providing relevant results based on user queries. With the advent of […]Continue reading
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