Power BI has become a cornerstone of enterprise analytics, enabling self-service reporting, real-time insights, and business agility. However, as organizations scale their Power BI environments often encompassing hundreds or thousands of reports, datasets, and users are increasingly confronted with challenges related to performance optimization, governance enforcement, cost management, and user engagement. Without proper monitoring and control mechanisms, analytics environments risk becoming bloated, unreliable, or non-compliant.

This session introduces a robust and scalable framework for AI-driven monitoring of Power BI environments, centered around the use of the Power BI REST API and modern Azure services. We will explore how metadata, audit logs, refresh histories, and lineage information can be extracted programmatically through the API and transformed into actionable insights. This allows data teams to move beyond manual oversight and toward proactive, intelligent monitoring.

The core of the session focuses on how artificial intelligence models can elevate monitoring efforts. Attendees will learn how to implement:

• Usage forecasting models (e.g., Prophet, ARIMA) to anticipate peak activity periods and optimize resource planning;
• KPI drift detection techniques (e.g., Isolation Forests, change point analysis) to automatically identify anomalies in key business metrics before they erode trust or performance;
• Report and workspace health scoring, using rule-based logic or machine learning, to assess report quality, relevance, and governance compliance based on usage trends, refresh stability, metadata completeness, and RLS configuration.

The proposed solution integrates Power BI API outputs with Azure Data Lake, Synapse Analytics, and Microsoft Fabric, enabling centralized processing and real-time visualizations. The result is a transparent, auditable, and scalable monitoring system that empowers data platform teams to automate quality assurance, improve decision-making, and reduce administrative burden.

Real-world examples from enterprise implementations will be shared, including lessons learned in aligning technical implementation with stakeholder needs. Whether you're a BI administrator, data engineer, analytics lead, or governance champion, this session will provide practical guidance and architectural patterns to help you take control of your Power BI landscape intelligently, efficiently, and at scale.