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Use Amazon Bedrock Agents for code scanning, optimization, and remediation

AWS Machine Learning Blog

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, integrate and deploy them into your application using Amazon Web Services (AWS) tools without having to manage any infrastructure. Grant the agent permissions to AWS services through the IAM service role.

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Using Amazon SageMaker AI Random Cut Forest for NASA’s Blue Origin spacecraft sensor data

AWS Machine Learning Blog

Fortunately, AWS uses powerful AI/ML applications within Amazon SageMaker AI that can address these needs. Secure data access can also be achieved through AWS PrivateLink , enabling private connections to Amazon S3 without internet exposure.

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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning Blog

At Amazon Web Services (AWS), we recognize that many of our customers rely on the familiar Microsoft Office suite of applications, including Word, Excel, and Outlook, as the backbone of their daily workflows. Using AWS, organizations can host and serve Office Add-ins for users worldwide with minimal infrastructure overhead.

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Boosting team innovation, productivity, and knowledge sharing with Amazon Q Business – Web experience

AWS Machine Learning Blog

Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service functions, limits, and implementations. For more on MuleSofts journey to cloud computing, refer to Why a Cloud Operating Model?

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How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS

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In this post, we explore how you can use Anomalo with Amazon Web Services (AWS) AI and machine learning (AI/ML) to profile, validate, and cleanse unstructured data collections to transform your data lake into a trusted source for production ready AI initiatives, as shown in the following figure.

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15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

With over 30 years in techincluding key roles at Hugging Face, AWS, and as a startup CTOhe brings unparalleled expertise in cloud computing and machine learning. A prolific educator, Julien shares his knowledge through code demos, blogs, and YouTube, making complex AI accessible. Julien Simon, Chief Evangelist atArcee.ai

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Build a computer vision-based asset inventory application with low or no training

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Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. LLMs are large deep learning models that are pre-trained on vast amounts of data.

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