AI to Improve Regulatory Compliance, Governance & Auditing. How AI identifies and prevents risks, above and beyond traditional methods. Techniques and analytics that protect customers and firms from cyber-attacks and fraud. Using AI to quickly and efficiently provide evidence for auditing requests.
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[Ai in finance] AI in regulatory compliance, risk management, and auditing
1. AI in Finance:
Regulatory Compliance, Risk Management, and Auditing
Natalino Busa - Head of Data Science
https://en.wikipedia.org/wiki/File:DTI-sagittal-fibers.jpg
2. 2
Head of Applied Data Science at
Teradata
On most networks:
@natbusa
3. 3
Whatโs in the next hour?
Machine learning and cognitive computing for :
โข Regulatory Compliance
โข Process and Financial Audit
โข Operational Risk Management
โข Data Management
Discussion
โข Q&A
โข Ideas, use cases
Recommendations
โข Data computing systems
โข Tools, and Skills
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What is NLP? Transforming free text into
structured data and back
Computer Science + Linguistic
Based on Algorithms,
Machine Learning and Statistics
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What problems does NLP solve?
Question Answering
Machine Translation
Text Summarization
Topic Extraction
Semantic Search
Spelling correction
Sentiment Analysis
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Unknown unknowns in ORM
Looking for something
we donโt know we should be looking for
โข Unexpected Services Failing
โข Suspicious Access schemes
โข Fraudulent Transactions
Looking for Patterns,
Looking for Anomalies
IT Risk
Model Risk
Legal Risk
CyberSecurity
Fraud Risk
Conduct Risk
Money Laundry
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Network Intrusion detection
http://billsdata.net/?p=105
It contains 130 million flow records involving
12,027 distinct computers over 36 days (not
the full 58 days claimed for the entire data
release).
Each record consists of: time (to nearest
second), duration, source and destination
computer ids, source and destination ports,
protocol, number of packets and number of
bytes
Techniques: TDA, Dimensionality Reduction
https://en.wikipedia.org/wiki/Nonlinear_dimensionality_reduction
29. 29
AI based solutions: Enterprises
http://www.shivonzilis.com/machineintelligence
https://www.oreilly.com/ideas/the-current-state-of-machine-intelligence-3-
0
30. 30
AI based solutions: Industries
http://www.shivonzilis.com/machineintelligence
https://www.oreilly.com/ideas/the-current-state-of-machine-intelligence-3-
0
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AI based solutions
AI Tools: Exist but may be too narrow in scope
Data + Libraries + Scientists: Still the way to go for customization
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Hype it right.
Understand the limitations of current systems
Googleโs Self-Driving Car Program Odometer Reaches 2 Million Miles
http://www.wsj.com/articles/googles-self-driving-car-program-odometer-reaches-2-million-miles-1475683321
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
http://www.nature.com/articles/srep26286
Why is AI so difficult?
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
http://www.forbes.com/sites/gilpress/2016/10/31/12-observations-about-artificial-intelligence-from-the-oreilly-ai-conference/
http://www.tor.com/2011/06/21/norvig-vs-chomsky-and-the-fight-for-the-future-of-ai/
https://www.safaribooksonline.com/library/view/oreilly-ai-conference/9781491973912/video260721.html
Down the rabbit hole.
https://youtu.be/_1Cyyt-4-n8
https://youtu.be/u6aEYuemt0M
https://youtu.be/bEUX_56Lojc