Ai For Risk Management & Compliance Excellence

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:o Growth of RegTech startups (e.g., ComplyAdvantage, Ayasdi)o Data explosion from digital systems and transaction logso Regulatory pressure post-2008 crisis (Basel III, GDPR, FATCA)· When AI was Used For:o Know Your Customer (KYC) automationo Sanctions list screening with NLPo Early use of natural language generation (NLG) in reportingo Predictive analytics for operational riskI continued to learn with 2019–2022 (Mainstream Integration Phase) when· AI became embedded in enterprise risk functions:o Anomaly detection in AML & internal audito ESG risk scoring using news and social media data (NLP-based)o Real-time compliance monitoring using ML models· COVID-19 (2020) accelerated demand for:o Remote audit and compliance toolso AI-enhanced scenario planning and supply chain risk modelsAnd I continue to learn more from 2023–Now (LLM & Generative AI Era) with· AI Capabilities Expanded:o Generative AI simulates adverse risk scenarioso GPT-based tools generate audit reports, incident summarieso Large Language Models (LLMs) analyze regulatory documents and policies· Adoption Across Sectors:o Banking: SAR automation, model governanceo Healthcare: HIPAA compliance document generationo Manufacturing: Predictive risk scores for vendors and ESG complianceI bring in this course my learnings from this journey and share with you how can you also can successfully use AI for Risk Management & Compliance ExcellencePreview for yourself many lectures free. If you like the content, enroll for the course, enjoy and skill yourself to start using AI for Risk Management & Compliance Excellence!Please remember that this course comes with Udemy’s 30 days Money Back GuaranteePlease remember to reach out to me for any help in enjoying this course after you enroll

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Overview

Lecture 2 Overview I

Lecture 3 Overview II

Lecture 4 Overview III

Lecture 5 Overview IV

Section 3: Risk Identification & Prediction

Lecture 6 Risk Identification & Prediction I

Lecture 7 Risk Identification & Prediction II

Lecture 8 Risk Identification & Prediction III

Section 4: Regulatory Compliance Automation

Lecture 9 Regulatory Compliance Automation I

Lecture 10 Regulatory Compliance Automation II

Section 5: Real-time Monitoring & Alerts

Lecture 11 Real-time Monitoring & Alerts I

Lecture 12 Real-time Monitoring & Alerts II

Section 6: Fraud Detection & Prevention

Lecture 13 Fraud Detection & Prevention I

Lecture 14 Fraud Detection & Prevention II

Lecture 15 Fraud Detection & Prevention III

Section 7: Risk Scoring & Prioritization

Lecture 16 Risk Scoring & Prioritization I

Lecture 17 Risk Scoring & Prioritization II

Section 8: AI-Driven Audit and Controls

Lecture 18 AI-Driven Audit and Controls I

Lecture 19 AI-Driven Audit and Controls II

Section 9: Compliance Training & Policy Interpretation

Lecture 20 Compliance Training & Policy Interpretation I

Lecture 21 Compliance Training & Policy Interpretation II

Section 10: Third-party Risk Management

Lecture 22 Third-party Risk Management I

Lecture 23 Third-party Risk Management II

Section 11: Scenario Analysis & Stress Testing

Lecture 24 Scenario Analysis & Stress Testing I

Lecture 25 Scenario Analysis & Stress Testing II

Section 12: Reporting & Regulatory Filings

Lecture 26 Reporting & Regulatory Filings I

Lecture 27 Reporting & Regulatory Filings II

Section 13: Summary

Lecture 28 Summary

Aspiring and current risk management and compliance professional,Management boards