OpenText IDOL CE 24.1 is an incremental release of the IDOL platform for the first quarter of CY24. There is an increasing need for companies to reach a greater variety of data, which adds to the complexity of their search types. We allow all customers to achieve a suitable response in their Enterprise-wide search across all levels of an organization.

Organizations are looking to democratize the access to Enterprise search into all the corporate knowledge. Conversational access to your Enterprise Data is an increasing desire for companies; in a world where 90% of existing corporate knowledge is in Unstructured data, over 50% of organizations are not tapping into this aspect of their knowledge with any form of discovery. Customers can use this new interface to access IDOL with QA using Natural language questioning to deliver their data securely to all users.

The IDOL 24.1 release includes various functional and performance improvements, new connectors, file format support, and many other additions.

It includes numerous features and improvements. Here are the new features you can explore in IDOL:

Check out the accompanying IDOL 24.1 webinar

Ingest

• OpenText eDocs
  • New connector to allow bi-directional access to the eDOCS repository
• OpenText Content services connector
  • New connector to allow bi-directional access to the OpenText Content Service Platform and it's repositories
• Eduction grammar groupings selection UI
  • NiFi Eduction module now has pre defined groups for PII components

Text Analytics

• Classification from structured data
  • Using the specified fields containing structured information in a document, IDOL will automatically classify it.
• LMM Fact checked summary generation
  • LLMs can now be used for summarization of search results as part of the existing passage extraction feature.

Rich Media

• Improved Text detection from video and images
• New speaker ID
  • New ML model for identifying specific individuals (who have been trained) , in audio
• Media server to support Ingest auto scaling
• Multi-step audio processing support

KeyView

• Spreadsheet-compatible output from tsv for better integration with Eduction;
• C++: simplified reference types and error reporting;
• OCR support on macOS/M1 and Linux/AArch64;
• Python API adds functionality to align with other APIs
• Various performance improvements in the KeyView engine

Solutions

• IDOL Discover
  • Discover provides Investigative Analytics and advanced UI for searching and analyzing relations between objects.

Deployment & Licensing changes

• Kubernetes Auto-scaling
  • NiFi nodes can be add to a cluster though auto-scaling
  • The Media Server templates also support certain auto-scaling features

More Information  

Learn more about what Unstructured Data Analytics can do for you.

Join OpenText on LinkedIn and follow @OpenText on X.

We’d love to hear your thoughts on this blog. Comment below.

The OpenText Analytics & AI team