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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

Flipboard

Rather than maintaining constantly running endpoints, the system creates them on demand when document processing begins and automatically stops them upon completion. This endpoint based architecture provides decoupling between the other processing, allowing independent scaling, versioning, and maintenance of each component.

AWS 111
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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

AWS Machine Learning Blog

A/B testing and experimentation Data science teams can systematically evaluate different model-tool combinations, measure performance metrics, and analyze response patterns in controlled environments. To understand how this dynamic role-based functionality works under the hood, lets examine the following system architecture diagram.

AI 102
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning Blog

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. The input to the training pipeline is the features dataset.

ML 134
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Innovating at speed: BMW’s generative AI solution for cloud incident analysis

AWS Machine Learning Blog

It requires checking many systems and teams, many of which might be failing, because theyre interdependent. Developers need to reason about the system architecture, form hypotheses, and follow the chain of components until they have located the one that is the culprit.

AWS 122
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Accelerate machine learning time to value with Amazon SageMaker JumpStart and PwC’s MLOps accelerator

AWS Machine Learning Blog

With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. However, implementing ML into production comes with various considerations, notably being able to navigate the world of AI safely, strategically, and responsibly.

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Why AI Agents Are Reshaping AI: What You’ll Learn from ODSC East 2025

ODSC - Open Data Science

Building Multimodal AI Agents: Agentic RAG with Vision-Language Models Suman Debnath, Principal AI/ML Advocate at Amazon WebServices Learn how to create AI agents that integrate both vision and language using retrieval-augmented generation (RAG).

AI 52
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Multi-account support for Amazon SageMaker HyperPod task governance

AWS Machine Learning Blog

Role-based access control is how we make sure the data science members of Team A will not be able to submit tasks on behalf of Team B. Before AWS, Anoop held several leadership roles at startups and large corporations, primarily focusing on silicon and system architecture of AI infrastructure.