In recent years, advances in computer vision have enabled researchers, first responders, and governments to tackle the challenging problem of processing global satellite...

Chronomics is a tech-bio company that uses biomarkers—quantifiable information taken from the analysis of molecules—alongside technology to democratize the use of science and data...

A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or...

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...

Organizations across industries such as healthcare, finance and lending, legal, retail, and manufacturing often have to deal with a lot of documents in their...

In this post, we present a solution for digitizing transactional documents using Amazon Textract and incorporate a human review using Amazon Augmented AI (A2I). You can find the solution source at our GitHub repository. Organizations must frequently process scanned transactional documents with structured text so they can perform operations such as fraud detection or financial […]

IntroductionDo you want to learn about one of the secrets of building a successful business? It’s not something that requires a huge amount...

It’s easy to distinguish a lake from a flood. But when you’re looking at an aerial photograph, factors like angle, altitude, cloud...

Documents are a primary tool for communication, collaboration, record keeping, and transactions across industries, including financial, medical, legal, and real estate. The format...

As organizations grow larger in size, so does the need for having better document processing. In industries such as healthcare, legal, insurance, and...

The volume of user-generated content (UGC) and third-party content has been increasing substantially in sectors like social media, ecommerce, online advertising, and photo...

When machine learning (ML) is deployed in production, monitoring the model is important for maintaining the quality of predictions. Although the statistical properties...