Ai For Risk Management & Compliance Excellence
Published 7/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 54m | Size: 5.07 GB
Use AI for Risk Identification & Prediction, Regulatory Compliance Automation and Fraud Detection & Prevention
What you'll learn
How can AI help build Excellence in Risk Management & Compliance
Case Studies of AI helping build Excellence in Risk Management & Compliance
Building Blocks to use AI for Excellence in Risk Management & Compliance
Implementing Building Blocks to use AI for Excellence in Risk Management & Compliance
Risk Identification & Prediction
Regulatory Compliance Automation
Real-time Monitoring & Alerts
Fraud Detection & Prevention
Risk Scoring & Prioritization
AI-Driven Audit and Controls
Compliance Training & Policy Interpretation
Third-party Risk Management
Scenario Analysis & Stress Testing
Reporting & Regulatory Filings
Requirements
5 hours learning time
Description
Want to use AI (Artificial Intelligence) for Risk Management & Compliance Excellence but don't know what to do and how?Take a look at this course where you willNot only learn about AI for Risk Management & Compliance including how AI helps build Excellence in Risk Management & Compliance, Case Studies of AI helping build Excellence, Building Blocks of using AI to build Risk Management & Compliance Excellence and How to implement these AI Building Blocks for Risk Management & Compliance Excellence in but alsoRisk Identification & Prediction, Regulatory Compliance Automation, Real-time Monitoring & Alerts, Fraud Detection & Prevention, Risk Scoring & Prioritization, AI-Driven Audit and Controls, Compliance Training & Policy Interpretation, Third-party Risk Management, Scenario Analysis & Stress Testing and Reporting & Regulatory FilingsPreview many lectures for free to see the content for yourselfClear your doubts on this topic any time while doing the courseGet Udemy's 30 days Money Back GuaranteeMy exposure to AI for Risk Management & Compliance Excellence started as early as the 2010s, with Early Adoption in 2010-2014 with Financial services sector leading the way with Use Cases in:· Machine learning in anti-fraud models (e.g., credit card fraud)· Text analytics in e-discovery and legal document review· Beginning of AML transaction monitoring with pattern detectionI continued to learn during 2015-2018 (Acceleration & Regulatory Attention) with· Key Drivers
Who this course is for
Aspiring and current risk management and compliance professional
Management boards
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