Indico 5 released to accelerate automation of unstructured data

Indico Data, an unstructured data company, announced Indico 5 to enable companies to better leverage unstructured data automation and Intelligent Document Processing (IDP).

According to the December 2021 IDC report, 90% of enterprise data is unstructured, but based on additional Google research, only 2% is used.

The platform uses a unique training data corpus, complex AI technology, and machine education application interface. Extend automation to make this unstructured data available to businesses.

The new version includes labeling of linked relationships and a new visual interface that makes it easy for organizations to automate and apply unstructured data.

“Indico 5 is another major advance in our strategy of putting breakthrough AI solutions for unstructured data in the hands of business users,” said Tom Wilde, CEO of Indico Data. “The real promise of Indico 5 automation is to use AI to enhance and replace human expertise. A workforce that changes employee expectations for experience through remote and hybrid work. With the rapid evolution of the environment, companies need to rethink their investments to improve the accessibility and use of corporate data to improve productivity, providing customers with extraordinary value. “

Platform AI can now be trained to split documents. This is useful for processing mortgages and other financial statements, including document bundles.

Linked labels help eliminate post-processing work, rebuild relationships from the extracted data, and automatically capture relationships between document elements.

The new version also includes staggered loop training to drive continuous improvement, universal document support, and a workflow canvas document orchestration tool to help users build and validate the steps of each automated process. ..

Indico 5 details available here..

Indico 5 released to accelerate automation of unstructured data

Source link Indico 5 released to accelerate automation of unstructured data

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