AI for Risk Management & Compliance Excellence

Use AI for Risk Identification & Prediction, Regulatory Compliance Automation and Fraud Detection & Prevention
Course Details | |
---|---|
Title | AI for Risk Management & Compliance Excellence |
Category | Business |
Sub Category | Management |
Creator Name | Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello |
Language | English |
Rating | 4.75 |
Length | 4:54 Hours |
Coupon Status | Coupon Is Expired |
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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 will
Not 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 also
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 and Reporting & Regulatory Filings
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My 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 detection
I 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 logs
o Regulatory pressure post-2008 crisis (Basel III, GDPR, FATCA)
· When AI was Used For:
o Know Your Customer (KYC) automation
o Sanctions list screening with NLP
o Early use of natural language generation (NLG) in reporting
o Predictive analytics for operational risk
I continued to learn with 2019–2022 (Mainstream Integration Phase) when
· AI became embedded in enterprise risk functions:
o Anomaly detection in AML & internal audit
o 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 tools
o AI-enhanced scenario planning and supply chain risk models
And I continue to learn more from 2023–Now (LLM & Generative AI Era) with
· AI Capabilities Expanded:
o Generative AI simulates adverse risk scenarios
o GPT-based tools generate audit reports, incident summaries
o Large Language Models (LLMs) analyze regulatory documents and policies
· Adoption Across Sectors:
o Banking: SAR automation, model governance
o Healthcare: HIPAA compliance document generation
o Manufacturing: Predictive risk scores for vendors and ESG compliance
I 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 Excellence
Preview 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!
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