Building a document understanding pipeline with Google Cloud

Building a document understanding pipeline with Google Cloud

  • October 5, 2019
Table of Contents

Building a document understanding pipeline with Google Cloud

Document understanding is the practice of using AI and machine learning to extract data and insights from text and paper sources such as emails, PDFs, scanned documents, and more. In the past, capturing this unstructured or “dark data” has been an expensive, time-consuming, and error-prone process requiring manual data entry. Today, AI and machine learning have made great advances towards automating this process, enabling businesses to derive insights from and take advantage of this data that had been previously untapped.

Source: google.com

Tags :
Share :
comments powered by Disqus

Related Posts

Google Research Use of Concept Vectors for Image Search

Google Research Use of Concept Vectors for Image Search

Google recently released research about creating a tool for searching Similar Medical Images Like Yours (SMILY). The research uses embeddings for image-based search and allows users to influence the search through the interactive refinement of concepts.

Read More