Favorite 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

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Shared by AWS Machine Learning November 25, 2023

Favorite Today, geospatial workflows typically consist of loading data, transforming it, and then producing visual insights like maps, text, or charts. Generative AI can automate these tasks through autonomous agents. In this post, we discuss how to use foundation models from Amazon Bedrock to power agents to complete geospatial tasks.

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Shared by AWS Machine Learning November 23, 2023

Favorite For decades, Amazon has pioneered and innovated machine learning (ML), bringing delightful experiences to its customers. From the earliest days, Amazon has used ML for various use cases such as book recommendations, search, and fraud detection. Similar to the rest of the industry, the advancements of accelerated hardware have

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Shared by AWS Machine Learning November 23, 2023

Favorite An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Customers across all industries run IDP workloads on AWS to deliver business value by automating use cases such as KYC forms, tax documents, invoices, insurance claims,

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Shared by AWS Machine Learning November 23, 2023

Favorite Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS. An intelligent document processing (IDP) project usually combines optical

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Shared by AWS Machine Learning November 23, 2023

Favorite When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. To build an enterprise solution, developer resources, cost, time and user-experience have to be balanced to achieve the desired business outcome. The AWS Well-Architected Framework provides a systematic way for

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Shared by AWS Machine Learning November 23, 2023

Favorite The IDP Well-Architected Custom Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build a secure, efficient, and reliable IDP solution on AWS. Building a production-ready solution in the cloud involves a series

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Shared by AWS Machine Learning November 23, 2023

Favorite Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS. By using the Framework, you will learn current operational and

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Shared by AWS Machine Learning November 23, 2023

Favorite The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS. Building a production-ready solution in the cloud involves a series of trade-offs

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Shared by AWS Machine Learning November 23, 2023

Favorite The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to

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Shared by AWS Machine Learning November 23, 2023