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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. This automatically deletes the deployed stack.

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Singapore-based Accredify gets $7M to make sure your documents are real

TechCrunch

But it was his experience as an accountant that led to his interest in the blockchain and how it can be used to verify documents. So far, it has processed 12 million verifications on 2 million issued documents and served 600 users. It creates a wallet, or document store, which is a smart wallet on the Ethereum network.

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Close Brothers unlocks RPA with Document Understanding

CIO

But Stephen Durnin, the company’s head of operational excellence and automation, says the 2020 Covid-19 pandemic thrust automation around unstructured input, like email and documents, into the spotlight. “We This was exacerbated by errors or missing information in documents provided by customers, leading to additional work downstream. “We

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How intelligent document processing automates content-intensive processes

CIO

Intelligent document processing (IDP) is changing the dynamic of a longstanding enterprise content management problem: dealing with unstructured content. The ability to effectively wrangle all that data can have a profound, positive impact on numerous document-intensive processes across enterprises. Not so with unstructured content.

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Reimagine application modernisation with the power of generative AI

CIO

GenAI can also harness vast datasets, insights, and documentation to provide guidance during the migration process. Alignment: Is the solution customisable for -specific architectures, and therefore able to unlock additional, unique efficiency, accuracy, and scalability improvements?

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

AWS Machine Learning - AI

Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual review to extract meaningful insights. This solution improves the findability and accessibility of archival records by automating metadata enrichment, document classification, and summarization.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices. An interactive chat interface allows deeper exploration of both the original document and generated content.