Release version 7.6.2
Release version 7.6.2 includes new features, improvements, and bug fixes.
- Feature updates
- Upcoming Product Enhancements
Platform
AI Agents Configuration and Management in Studio: Skypoint AI Studio now supports AI Agents Configuration, enabling users to create, customize, and manage AI agents directly within the platform. Users can work with multiple agents, track version history, and tailor agent behavior to their specific business needs. The Studio offers built-in agent templates including the General Knowledge Agent, Database Analyst and Microsoft Copilot Studio Agent (MSA) that can be easily configured and extended to suit a wide range of use cases.
Skypoint AI Insights Application: The Skypoint AI Insights application serves as a centralized destination for accessing insights and reports. Accessible via a URL configured during insight creation in Skypoint AI Studio, it provides a clear and efficient way to view and explore analytics enabling more informed and timely decision-making.
Skypoint AI
Suggest Follow up Questions: We’ve introduced an enhancement to the Copilot in the General Knowledge (GK) Agent, which intelligently suggests follow-up questions based on user input. This improvement enhances conversational flow and guides users toward deeper, more meaningful insights with greater efficiency.
AI Model Upgrade: We're enhancing Copilot by upgrading to Gemini 2.0 Flash, GPT-4o, and GPT-4o Mini, delivering faster responses and greater accuracy. As part of this improvement, we’ll be discontinuing the use of GPT-4 Turbo across the pipeline.
Skypoint AI
Streaming Response in Skypoint AI Copilot: Skypoint AI Copilot will soon support Streaming Response, delivering real-time, progressive replies for a more natural and responsive conversation experience. This update enhances engagement, reduces wait times, and makes interactions feel smoother and more dynamic.
Model Picker on Copilot: We’ve introduced a model selection option in Copilot for the General Knowledge (GK) Agent, allowing users to choose their preferred AI model directly within the interface. This gives users more control to customize responses based on the desired level of detail or interaction style.
Support Request Tracking in Copilot: We will be introducing Support Request Tracking, allowing users to monitor and manage support requests in real-time. This feature streamlines request tracking, offers detailed status and history views, and improves response times and overall support management.
Platform
- Invite flow for Copilot User: We will be streamlining the Invite User Flow, allowing admins to easily invite users and ensuring that invitees are directly redirected to Copilot for faster, smoother onboarding. This enhancement improves access management, drives collaboration, and enhances the overall user experience.