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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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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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AI in action: Stories of how enterprises are transforming and modernizing

CIO

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. And its modular architecture distributes tasks across multiple agents in parallel, increasing the speed and scalability of migrations.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. MMTech built out data schema extractors for different types of documents such as PDFs.

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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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How Machine Learning is Used in Finance and Banking

Exadel

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

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Comparing production-grade NLP libraries: Accuracy, performance, and scalability

O'Reilly Media - Data

not domain-specific text like legal documents, financial statements, or medical records), and in one of the seven languages supported by spaCy , this is a great way to go. Training scalability. Scalability difference is significant. Scalability. Image courtesy of Saif Addin Ellafi. Image courtesy of Saif Addin Ellafi.