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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. The tedious process of compiling hundreds of documents is also prone to errors.

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Guest Blog: 5 Surefire Ways to Improve Online Communication with Your Customers

ShepHyken

Additionally, you can use third-party tools such as Google Analytics and group customers based on demographics and other relevant factors. Not only will this solution document your product or services as a whole, but it also gives your business the opportunity to analyze, gather and address common customer concerns.

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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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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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NEW: MindTouch Customer Experience Analytics

Mindtouch

When customers engage with your company’s product documentation and self-service support knowledge, they’re doing so much more than viewing a single piece of content. What is MindTouch Customer Experience Analytics? Learn more about Customer Experience Analytics Visit the success center. Self-Service Report.

Analytics 101
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Introducing one-step classification and entity recognition with Amazon Comprehend for intelligent document processing

AWS Machine Learning

“Intelligent document processing (IDP) solutions extract data to support automation of high-volume, repetitive document processing tasks and for analysis and insight. Customers spend a significant amount of time and effort identifying documents and extracting critical information from them for various use cases.

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Super-Agents Are Real (Blog #2)

Enghouse Interactive

AI Makes It Possible (Blog Series). Blog #2 of 4: Seeking th e Root Cause and Affecting the Right Outcome. A typical example would be to use that extracted insight to interface with an associated knowledge base and then recommend a process, script, or document to help deal with the situation or need at hand. It’s doable.

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