The Total Economic Impact of Amazon Intelligent Document Processing

Amazon IDP delivers 73% return on investment

Documents are a primary tool for communication, collaboration, record keeping, and transactions across industries, including financial, medical, legal, and real estate. The format of data can pose an extra challenge in data extraction, especially if the content is typed, handwritten, or embedded in a form or table. Furthermore, extracting data from your documents is manual, error-prone, time-consuming, expensive, and does not scale.

By using AWS AI to automate document processing, Forrester found a 73% ROI and less than 6 months payback.

Read the report to understand how you can:

Increase productivity by automating text and data extraction
Save time in text and data content comprehension
Reduce time required for human review

Learn more about how using AWS AI can help you save time, money, and resources to process the millions of documents you have.

Previous Flipbook

6 Steps to Machine Learning Success Infographic

AWS has helped over 100,000 customers achieve meaningful value from machine learning. Discover our best pra...

Next Flipbook

Validating the Economic Benefits of AWS Contact Center Intelligence Solutions

AWS Contact Center Intelligence solutions – Boost efficiency, agent productivity, and customer satisfaction...

The Total Economic Impact of Amazon Intelligent Document Processing

Amazon IDP delivers 73% return on investment

Previous Flipbook

Next Flipbook

Most Recent Flipbooks

Read this whitepaper to learn how your startup can accelerate machine learning (ML) adoption without the costs of building, deploying, and maintaining an ML infrastructure.

AWS has helped over 100,000 customers achieve meaningful value from machine learning. Discover our best practices for your machine learning journey.

AWS Contact Center Intelligence solutions – Boost efficiency, agent productivity, and customer satisfaction by powering your existing contact centers with artificial intelligence and machine learning.

This ESG Economic Validation focused on the quantitative and qualitative benefits organizations can expect by using the Amazon Kendra Intelligent Search to find information quickly and accurately.

Read this eBook to learn how AI-powered search can transform your organization.

Read this eBook to learn how machine learning can help you incorporate behavioral data to personalize the individual customer’s experience and more.

Read the eBook to learn how you can add AI and ML to your existing contact centers to increase customer satisfaction with more accurate answers, reduce call wait times, and derive actionable insights.

Read this eBook and learn how you can use machine learning to process data faster, lower costs with intelligent document processing, and boost employee productivity by freeing time for other tasks.

In this eBook, we highlight 7 ML use cases that startup customers are achieving success with today. These use cases solve real business problems and can be completed quickly, with limited budgets.

Learn how 4 startups are leveraging machine learning to solve key challenges and unlock new opportunities.

Learn how 4 innovators are automating processes and reducing costs to evolve.

Read this eBook to learn how 4 digitally native companies are using machine learning to solve key challenges and sustain competitive advantages.

This eBook will show you how to to succeed with artificial intelligence and machine learning. Use the three keys for effective adoption to promote successful outcomes.

Read this eBook to learn how to achieve success with machine learning. Follow the 6 steps to achieve measurable results at every stage of your ML journey.

This eBook outlines the 7 leading use cases for machine learning that solve business problems. Read customer quotes detailing how an AI service and/or Amazon SageMaker helped solve for these problems.

This eBook discusses the importance of an end-to-end platform to scale ML initiatives across an organization, addressing the need for data preparation, MLOps, low-code/no-code, and responsible AI.

This HBR briefing paper explores the 3 keys to successfully implementing and scaling AI and ML to unlock the value of data across your business.

This eBook highlights how AI and ML go beyond day-to-day business to transform our society - showcasing how organizations are using ML to help fight climate change, improve human health, and more.

This eBook highlights key customer stories, across industries and use cases, focused on how machine learning on AWS has helped transform business and solve real world problems.