Episode
Making Compliance Sustainable - Shubhradeep Nandi - Ep150
- Podcast
- Tech Interviews
- Published
- Feb 10, 2021
- Duration seconds
- 1975
- Processing state
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- https://soundcloud.com/techstringy-580399274/making-compliance-sustainable-shubhradeep-nandi-ep150
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Summary
Traditional compliance relies on digital footprints that are increasingly absent in emerging markets. This episode explores how AI and machine learning can create sustainable, traceable compliance even when users lack a conventional digital history.
Topics
- Fintech
- Regtech
- Compliance Automation
- Machine Learning
- Anti-Money Laundering
- Digital Identity
- Financial Regulation
- Data Science
Highlights
- Main idea: Compliance is currently a 'black box' prone to human error and regulatory fines
- Failure mode: Relying on manual processes leads to degraded quality and high operational costs
- Problem scale: An estimated $1 trillion in money laundering goes undetected annually due to lack of traceability
- Practical takeaway: Sustainable compliance requires moving from manual sampling to automated, intelligent data extraction
- Technical challenge: Developing verification methods for populations that lack established digital footprints
Chapters
1:00Introduction to Shubhradeep Nandi: An introduction to the guest's background in fintech, data science, and the founding of PiChain Labs.3:30The Cost of Compliance Failures: Discussing how regulatory gaps and 'black box' processes lead to significant fines and penalties.5:50The Scale of Global Money Laundering: Analyzing the $1 trillion problem of untraceable money laundering and the impact of regulatory crackdowns.8:20The Challenge of No Digital Footprint: Examining how to verify transactions for individuals who lack traditional digital or financial histories.10:40Bridging Domain Expertise and Technology: The necessity of combining deep regulatory domain knowledge with advanced technical implementation.13:10The Degradation of Manual Compliance: How heavy reliance on manual, repetitive steps leads to errors and reduced oversight quality.20:30Achieving Sustainable Compliance: Using AI and machine learning to automate knowledge extraction and reduce the cost of compliance.