At their recent Cloud Next Conference, Google announced a new machine learning service, called Document Understanding AI. The service targets Enterprise Content Management (ECM) workloads by enabling customers to organize, classify and extract key value pairs from unstructured content using Artificial Intelligence and Machine Learning.
Gartner and Forbes estimate that 80% of enterprise data is unstructured and 70% of enterprise data is free-form text, such as emails, written documents and scanned paperwork. As the rate of data growth continues to climb in enterprise organizations, Google sees an opportunity to leverage AI and ML to address increasingly difficult enterprise content challenges. Levent Besik, group product manager at Google, explains:
Document Understanding AI enables organizations to ingest data such as forms, documents and contracts. Key value pairs and entities can subsequently be extracted from documents. Additionally, businesses can implement their own schema and leverage a new Google capability called knowledge service, which is currently in the alpha testing stage.
More details on Google’s Document Understanding AI is available on Google’s Cloud blog.
To understand how ONEFIVE can help you leverage modern AI and ML techniques to tap the potential of your document archives, get in touch with a member of our team.