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Liaison

Version 2025.1 – April 5, 2025

New Features and Enhancements

Note that these enhancements are planned to be released on April 5, 2025.

If you have any questions about these features, contact a member of your account team or support.

Disclaimer: on rare occasions, a new feature or enhancement may be moved to a future release or otherwise subject to change.

Othot Platform User Experience Enhancements

We continue to refine and expand the new Othot user experience. Building on our user studies and foundational work, this release introduces additional improvements to streamline workflows and enhance usability. Updates include refinements to the Analyze functionality, making it easier to navigate simulations and prescriptions, as well as continued enhancements to the Insights Grid for clearer segmentation and analysis. Additionally, we are incorporating Liaison's component library for a more cohesive experience across products.

With this release, we have completed development on the Analyze functionality. The redesigned experience will be available in beta when the full platform redesign is complete.

Othot's First LLM-Powered AI Feature: Text-to-Query

Othot is pleased to announce its first LLM-powered AI feature, Text-to-Query! This feature enables users to filter populations using natural language, making it easier to find the right insights without complex query building. While it remains in training mode for our team initially, a beta version is available upon request for early adopters who want to test it out.

Holistic Scoring Pipeline Enhancements

We've improved our holistic scoring pipeline to deliver more reliable scores, ensuring faster, more reliable processing for our current and future customers.

Core Bug Fixes & Enhancements

This release includes various bug fixes and performance enhancements, improving the stability and efficiency of the platform:

  • Improvements to correction factor for students in early phases.
  • Bug fix to handle time zones in dates more robustly.
  • Update to improve interpretability for some model recommendations.

 

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