Wizard Driven AI Anomaly Detection with Databricks in Azure

Explore a cloud-native, wizard-driven AI anomaly detection solution in this 23-minute video from Databricks. Learn how Citizen Data Scientists can easily create models to flag various types of anomalies at the transaction level, including collusion between actors. Discover unsupervised and supervised modeling methods executed in Apache Spark on Databricks, and understand the innovative aggregation framework that converts fraud scores into actionable insights. Gain insights into the Anomaly Lifecycle, from statistical outlier to validated business fraud, and learn about Human-in-the-Loop feedback methods for continuous model improvement. Examine client success stories in the Pharmaceutical and Transportation industries, and explore the solution's deployment options, enterprise tech stack integration, and cloud-native serverless architecture with Databricks integration.

Intro
Why Al Audits
Rise of the Citizen Data Scientist
Designing for Citizen Data Scientists
Wizard Driven, No-Code ML
Evaluation & Visualization
Business Benefits
Human in the Loop Anomaly Lifecycle
Deployment Options
Enterprise Tech Stack Integration
How the Solution Works
Cloud Native Serverless Architecture
Databricks Integration