NAFIS 2017: Industry’s Late ‘Thaw’ on Machine Learning Leaves Much to be Done
Joanne Faulkner reports on NAFIS panelists' views on machine learning and its current and future applications for the capital markets.
Neeraj Hegde, senior quantitative trading architect at Societe Generale, described the current climate as “the spring of machine learning after a long winter,” but warned that the required heavy investment in compute resources and sophisticated algorithms mean “we cannot keep up with the pace of innovation going on in this field…. The amount of effort that is being put into this particular field is phenomenal.”
Machine learning is transforming how firms investigate patterns in data, with even
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
BlackRock aims to transform data quality checks with AI
Engineers at the firm are experimenting with harnessing the power of AI to improve data quality, and early results are promising.
A third of banks do not maintain logs for GenAI models
Benchmarking study finds few banks review prompt logs systematically, with larger firms focusing on higher risk use-cases.
Ethereum rebuild casts doubt on banks’ QC prep
The Waters Wrap: Q-Day may be approaching faster than some realize. As Ethereum embarks on a major overhaul, Wei-Shen asks: just how prepared are banks?
Few banks formally evaluate GenAI human-in-the-loop controls
Benchmarking: G-Sibs and challengers use tools to test controls efficacy; others rely on judgment.
New Preqin indices, Bloomberg’s TCA API, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
Agentic AI for XVAs still five years away, experts say
Risk Live: Questions about validation and accountability keep autonomous AI models out of XVAs for now.
MUFG builds internally compliant version of Claude Code
Japanese bank says Anthropic’s coding and productivity tool is effective at obtaining information but bucks compliance guardrails, prompting the creation of an in-house alternative.
Finance firms join Anthropic’s Project Glasswing as AI transforms cyber risk
Broadridge and Intercontinental Exchange are taking part in Anthropic’s cybersecurity initiative, built around its controversial Mythos model.
