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Revolutionizing knowledge management: VW’s AI prototype journey with AWS

AWS Machine Learning

Today, we’re excited to share the journey of the VW —an innovator in the automotive industry and Europe’s largest car maker—to enhance knowledge management by using generative AI , Amazon Bedrock , and Amazon Kendra to devise a solution based on Retrieval Augmented Generation (RAG) that makes internal information more easily accessible by its users.

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Intelligent document processing with Amazon Textract, Amazon Bedrock, and LangChain

AWS Machine Learning

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

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Unlocking B2B Success: The Essential Role of Onboarding, Design, and Customer Experience

ECXO

Key components include: Clear Communication: Benefits should be communicated clearly, supported by user-friendly interfaces and personalized experiences. Tailored Walkthroughs: Customized guides and welcome messages introduce key features and benefits, making users feel supported from the start.

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Intelligent document processing with AWS AI services: Part 1

AWS Machine Learning

Organizations across industries such as healthcare, finance and lending, legal, retail, and manufacturing often have to deal with a lot of documents in their day-to-day business processes. There is limited automation available today to process and extract information from these documents.

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Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

Amazon’s intelligent document processing (IDP) helps you speed up your business decision cycles and reduce costs. Across multiple industries, customers need to process millions of documents per year in the course of their business. The following figure shows the stages that are typically part of an IDP workflow.

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Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. The system is capable of processing images, large PDF, and documents in other format and answering questions derived from the content via interactive text or voice inputs.

Banking 86
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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts.