Release version 7.4.2

Release version 7.4.2 includes new features, improvements, and bug fixes.

UKG HCM Connector: This API based connector will seamlessly transfer data to the Skypoint AI Platform. It is equipped with enhanced data integration capabilities, allowing users to generate reports, chat with their data, and more.
August Health Connector: This connector will automate data extraction from August Health Assessments and Incidents, streamlining data management and analysis.

Pre-defined Questions on Landing Page and New Chat: In an upcoming release, users will see a welcome message and suggested questions when they land on the Skypoint Copilot page or start a new conversation. Additionally, admin users will have the capability to set up these suggested questions through the AI Tuning module in Skypoint AI Studio. This feature aims to streamline user interactions, providing a more guided and efficient experience right from the start.
Quick Retry for System Failures: Skypoint AI Copilot users will soon be able to instantly retry prompts with a simple button whenever system failures occur, ensuring uninterrupted workflow. This enhancement minimizes downtime, ensuring smooth operation and improving reliability and user experience.
AI Bot for Teams: We're excited to announce the upcoming Skypoint AI Copilot on Microsoft Teams! This integration provides quick and convenient access to Skypoint AI Copilot within the Teams environment, enabling users to chat with their data anytime, anywhere, enhancing productivity and improving the user experience.
Unstructured to Structured Optimization: We are enhancing the unstructured-to-structured data extraction features, to ensure higher accuracy rate with optimized data coverage within the same processing time. This advancement will overcome data handling challenges to deliver high performance, making it unbeatable.

Enhanced Structured Data Configuration: New features will soon allow users to seamlessly configure end-to-end structured data on Skypoint AI Studio. This includes facilitating data annotation, setting up the data model context, and providing example SQL queries. These improvements are designed to enhance the accuracy and usability of Skypoint AI Copilot, ensuring a streamlined and efficient user experience.
Instructions Tuning via Studio: Enhance AI performance by tuning instructions within Skypoint AI Studio. Users can specify domain information, provide details about data sources, and input prompt examples to refine AI reasoning capabilities, tailoring AI responses to specific user requirements.
Nethealth Connector: This Connector will integrate clinical data using Databricks Delta Share. It will support both a data warehouse star schema and a production OLTP database for improved reporting.