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

Опубликовано 12 апреля 2019, 0:17

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 → bit.ly/2TZa0JK

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

Subscribe to the GCP Channel → bit.ly/GCloudPlatform


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

Session ID: MLAI201
product: Cloud - AI and Machine Learning - Document AI; fullname: Milan Lee, Rochelle Mattern, Flavien Prost, Sudheera Vanguri, Anke Conzelmann; event: Google Cloud Next 2019;