Video course · 15 chapters · 52 min · certificate
Part 32 - AI In Compliance
AI in compliance: what compliance is, traditional issues, rising regulatory demands, AI-driven and real-time compliance, machine learning, NLP for regulatory text, RPA, computer vision, blockchain audit trails, monitoring and fraud detection, data privacy, implementation hurdles and future trends.
What you'll learn
- Explain compliance and its traditional problems
- Describe AI-driven compliance solutions
- Match ML, NLP, RPA, vision and blockchain to compliance tasks
- Use AI for monitoring, fraud and privacy
- Plan around implementation challenges
- Anticipate future trends
Chapters
15 chapters · 52:07-
4:17
01Intro Members
Understanding compliance
Module 10, lecture 2.
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3:59
02Problems Members
Traditional compliance issues
Manual methods.
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4:35
03Regulation Members
Rising regulatory demands
Stricter rules.
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2:50
04Solutions Members
AI-driven compliance solutions
How AI helps.
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3:27
05Real-time Members
Impact and real-time compliance
Proactive monitoring.
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3:57
06ML Members
Machine learning applications
Patterns and anomalies.
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3:37
07NLP Members
NLP for regulatory text
Understanding regulations.
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3:03
08RPA Members
RPA in compliance tasks
Software bots.
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2:56
09Vision Members
Computer vision applications
Images and video.
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3:31
10Blockchain Members
Blockchain audit trails
Immutable records.
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3:06
11Applications Members
Monitoring, fraud and risk
Core uses.
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2:41
12Privacy Members
Data privacy and financial compliance
Protecting data.
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4:58
13Hurdles Members
Implementation challenges
Legal, management, cost.
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3:30
14Future Members
Future trends in compliance
Where it's going.
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1:40
15Wrap-up Members
Conclusion
Global privacy laws.
Jobs this course suits
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