D365 Copilot Digest#19
Topics
D365 Business Central Integrations
Business Central provides a robust integration framework designed to streamline connections with Microsoft 365, Dynamics 365, Power Platform, and other external services.
Business Central’s architecture offers flexible integration patterns, enhancing business operations and enabling seamless data exchange within and beyond the Microsoft ecosystem. Learn more @ blog.
Power Platform Git Integration
The new Git Integration feature for Power Platform, now in public preview, enables a collaborative and streamlined development process by allowing developers and citizen developers to work together efficiently.
Unified Development Workflow: Git Integration in Power Platform supports fusion teams by making Git functionality accessible within Power Apps, Power Automate, Power Pages, and Copilot Studio, creating a consistent workflow across the development team.
Easy Setup and Collaboration: Connecting Dataverse to an Azure DevOps Git repository is fast and seamless, allowing teams to work in parallel and pull each other’s changes when ready.
Change Tracking and Version Control: Git tracks changes to solutions in Dataverse in a human-readable format. Developers commit changes to a Git branch, making it easy to track, audit, and manage versions.
Testing and Deployment: When ready to deploy, teams can use Pipelines in Power Platform for release to testing or production environments, though developer tools are limited in this preview. Users are advised to avoid production solutions with this feature until the preview phase is over.
This Git Integration enhances productivity, supports team isolation, and allows for easy collaboration, providing a solid framework for iterative and controlled development in Power Platform. Learn more @ blog.
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Copilot Studio Analytics
Copilot Studio combines multiple AI models and capabilities, including a core transformer-based natural language understanding (NLU) model, making it a powerful platform for copilot development.
Alongside these AI-driven functionalities, Copilot Studio provides a comprehensive analytics suite to help creators monitor and improve copilot performance.
AI-Enhanced Performance Tracking: Analytics sessions track user engagement and copilot efficacy, using NLU to analyze intent and task success rates. Separate billed sessions measure resource consumption, providing insights into efficiency and cost-effectiveness.
Natural Language Processing with Topic Analysis: The NLU model supports conversation tracking and topic analysis by identifying high-impact topics in user interactions. This feature ensures that copilots respond accurately to user needs and that key topics receive focused improvements.
Customer Satisfaction and Interaction Trends: The dashboard showcases customer satisfaction metrics, using AI to pinpoint trends and highlight areas where satisfaction is lacking. This data guides targeted enhancements to improve user experience and response accuracy.
Session Transcripts and Detailed Reporting: Copilot Studio provides downloadable transcripts of each session, accessible in Dataverse and Power Apps. These transcripts offer a comprehensive view of interactions, helping creators refine responses based on data-backed insights.
By hosting powerful AI models alongside advanced analytics, Copilot Studio enables teams to create responsive, user-focused copilots that are continuously optimized for effectiveness and customer satisfaction. Learn more @ blog.
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