AI

From PDFs to insights: Architecting an intelligent document processing pipeline with AWS generative AI services

Organizations process millions of documents daily, from insurance claims and invoices to legal contracts and medical records. While traditional optical character recognition (OCR) solutions extract text, they can’t understand context, relationships, or meaning embedded within complex documents. This limitation creates bottlenecks that require manual intervention, increasing processing time and costs while introducing potential errors. Amazon […]

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Built from the inside out: How AWS Professional Services became a frontier team first

AWS Professional Services (AWS ProServe) compressed engagement timelines from months to days, not by adding artificial intelligence (AI) tools to an existing process, but by fundamentally rebuilding how we deliver from the inside out. The shift mirrors what my colleague Swami Sivasubramanian outlined in How Frontier Teams Are Reinventing AI-Native Development: real productivity gains come

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Extract Data with On-demand and Batch Pipelines Dynamically

Many companies have large volumes of paper or electronic documents that contain untapped business intelligence. With the advancement of generative AI, various large language models can be used to accurately extract relevant data from these documents. This post demonstrates an intelligent document processing pipeline that consists of both on-demand inference and batch inference options on

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When it comes to predicting people’s preferences, it pays to consider “the power of three”

In his 1927 paper, “A law of comparative judgment,” the American psychologist L. L. Thurstone proposed that when people select one option among multiple alternatives, they are picking the one that has the highest value to them, even though they cannot assign a particular number to that choice.  Thurstone was a pioneer of “psychometrics” —

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