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Entries for 'Machine Learning'

Machine Learning Recommendations for Policymakers 

This paper articulates how policymakers and supervisors can assist in ensuring safe machine learning innovation, harnessing the benefits of these new technologies while minimizing and mitigating risks.

FRT Episode 46: New IIF Machine Learning Report

With the IIF Machine Learning in Credit Risk 2nd Edition Report tracking the industry’s progress with these technologies over the past year, leading contributor Paul Edwards (Scotiabank) joins IIF report authors Brad Carr and Natalia Bailey to discuss the survey’s key findings.

Machine Learning in Credit Risk: 2nd Edition Summary Report

Following on from the IIF’s 2018 Machine Learning in Credit Risk survey, our 2nd Edition (2019) survey tracks industry progress in the adoption and implementation of these technologies.

FRT Episode 44 – Japanese Edition

Our latest episode of the IIF’s FRT podcast is our inaugural Japanese language edition, featuring IIF experts Junichi Fujimori and Jonathan Fort...

FRT Episode 41: IIF Machine Learning Roundtable

The IIF 2nd Machine Learning Roundtable was held in Frankfurt on June 19 hosted by Commerzbank, and speakers Kerem Tomak (Commerzbank), and Farhaad Amod (Nedbank) join us to share their top takeaways (with Brad Carr, Natalia Bailey, and Adrien Delle Case).

FRT Episode 39: S&P CEO Doug Peterson

S&P CEO Doug Peterson joined FRT during the IIF Spring Membership Meeting & G20 conference in Tokyo, discussing investments in innovative technologies, environmental management tools and metrics on plastics footprints, and the necessary evolution of pension systems.

 

June 2019 Global Regulatory Update

The June 2019 IIF Global Regulatory Update provides updates on Advocacy on Addressing Market Fragmentation, Evaluation of Too-Big-To-Fail (TBTF) Reforms and the Basel III Finalization & Cumulative Capital Impact Study.

FRT Episode 38: Debunking Misconceptions on Machine Learning Interpretability

FRT welcomes Dr. Bill Kahn, leading data scientist and financial modeling executive, formerly at Bank of America where he led the IIF Machine Learning...

IIF Insurance Update - May 2019

The May edition of the Insurance Update provides targeted updates on IIF insurance activities and events, and highlights relevant IIF publications or related regulatory developments in other fields.

FRT 35: Machine Learning in AML

Sarah Runge, Global Head of Financial Crime Compliance Regulatory Strategy for Credit Suisse, joins us on this week’s episode of FRT to discuss the benefits and challenges of applying Machine Learning in Anti-Money Laundering and Countering Terrorism Financing (AML/CTF).

 

 

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