Chaos to Compliant: Standardizing Semantic Models and Securing Fabric Data with Copilot

Regulated industries like Finance & Healthcare are moving fast to unlock insights with AI and self‑service analytics—but speed without governance creates RISK. Inconsistent metrics, slow reports, unclear data ownership, and unsecured access to PHI can undermine trust, audit readiness, and compliance.
This session demonstrates how regulated industries can use Copilot in Microsoft Fabric to accelerate analytics development without sacrificing HIPAA‑aligned governance, security, and auditability. Attendees will see how standardized semantic models, performance‑optimized data design, and built‑in security controls (RLS, sensitivity labels, lineage, endorsement) transform “bad reports” into trusted, production‑ready analytics assets.

Through real‑world scenarios, this session shows how to:

Rapidly generate and refactor reports using Copilot
Eliminate metric drift through standardized semantic models
Apply least‑privilege access and data protection by design
Improve performance while maintaining compliance controls
Achieve audit‑ready analytics with lineage, labeling, and governance

Outcome: Faster insights that clinicians, finance leaders, compliance teams, and auditors can trust.