Entries for 'Machine Learning'
March 13, 2023
This paper illustrates how AML and other regtech solutions are impacted by data policies, including data localization measures and other data barriers. As the G7 considers operationalizing “Data Free Flow with Trust”, understanding the implications of data policy on financial services is important.
January 30, 2023
This case example explores the impact of restrictive data frameworks on AI/ML tools to combat the growing challenges of fraud in payments. These costs and tradeoffs illustrate how data policy has broad-based repercussions for the economy including on micro, small and medium enterprises (MSMEs).
December 23, 2022
The IIF and EY 2022 Survey Report on Machine Learning Uses in Credit Risk and AML Applications details the results of our comprehensive survey on the machine learning development and implementation process within the global financial services industry.
December 20, 2022
In this episode of FRT, Ryan Moore, Managing Director of Financial Services at EY discusses trends in Machine Learning adoption in financial services ...
September 2, 2022
Third edition of the Digital Finance Download.
August 1, 2022
Second edition of the Digital Finance Download
July 1, 2021
The IIF has provided comment on the U.S. Federal Register Request for Information and Comment on Financial Institutions’ Use of Artificial Intelligence, including Machine Learning, published on March 31, 2021.
June 30, 2021
The third session of the IIF’s DataTalk forum, our interactive discussion forum with knowledge partner the Oliver Wyman Forum, focused on artificial intelligence (AI) and machine learning (ML) explainability.
January 13, 2021
Rachel Bailey, a senior manager specializing in machine learning in model risk and validation at Lloyds Banking Group, joins us on FRT to discuss key findings from our recent Machine Learning Governance study.
December 4, 2020
The IIF’s Machine Learning Governance Detailed Survey Report details the results of our comprehensive survey on the end-to-end governance of the machine learning development and implementation process within the global financial services industry.
October 26, 2020
This briefing note summarizes some of the key digital finance themes that emerged throughout the Annual Membership Meeting, focusing on six main topical themes that surfaced in various discussions during the weeklong virtual event, including customer-centricity, cross-border standardization, regulatory frameworks, digital identity, ethical use of data, and artificial intelligence.
July 6, 2020
Deem Finance CRO Torsten Kleine Buening joins us to discuss the ethical use of data and preserving customer trust, and the implications of the COVID experience for technologies such as digital identity and machine learning.
March 23, 2020
This is a supplement to the IIF-Deloitte series, Realizing The Digital Promise, and captures some of the topical insights shared: both in success stories with the deployment of new technological solutions, and also in some of the cultural adaptation challenges, where some aspects of the current predicament may present a microcosm of the digital transformation journey.
February 20, 2020
The February 2020 IIF Global Regulatory Update provides updates on current work streams.
November 26, 2019
This note summarizes the major themes and developments from the IIF's Digital Financial Inclusion Summit on November 7th, 2019 in Cairo, Egypt.
November 22, 2019
The IIF’s key observations and takeaways from the fourth Singapore FinTech Festival, held November 11-15.
November 14, 2019
IIF President and CEO, Tim Adams, delivers scene-setting remarks to the 26th Annual IAIS Conference in Abu Dhabi, UAE. Speech as prepared for delivery.
September 25, 2019
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.
August 28, 2019
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.
August 22, 2019
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.