Document Understanding AI on Google Cloud (Cloud Next '19)


All industries face similar challenges as they seek to extract information from forms, documents, and visual artifacts – and most agree that is costly, time consuming and prone to errors with manual data entry. In this session, you will learn how to use machine learning on a scalable cloud-based platform to efficiently analyze documents – and use the knowledge hiding within – to improve decision-making at your company.

Iron Mountain will show how they have been able to ingest nearly every type of imaged data from a wide variety of origins, both on-premise and in the cloud, to capture, process, analyze and then store data integrated into a complete visual search interface to enable their customers to unlock insights from their documents.

Leveraging Machine Learning → http://bit.ly/2TZa0JK

Watch more:
Next ’19 ML & AI Sessions here → https://bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): Milan Lee, Rochelle Mattern, Flavien Prost, Sudheera Vanguri, Anke Conzelmann

Session ID: MLAI201
product:AutoML Translation,AutoML Natural Language,Cloud Vision API,AI,TensorFlow; fullname:Milan Lee,Rochelle Mattern,Flavien Prost,Sudheera Vanguri;


Duration: 49:58
Publisher: Google Cloud
You can watch this video also at the source.


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