GenAI too risky for collateral processes
The technology has been heralded as game-changing for other areas of finance, but its potential to hallucinate may disqualify it from sensitive settlement procedures.
Financial services firms are opting not to use generative AI in collateral management, judging the process to be too critical to allow for a greater possibility of error. This is despite many banks’ risk chiefs softening their initial hardline approaches to using the technology over the last year.
Collateral management is the process of handling assets such as cash or securities, which have been pledged to reduce risk in financial transactions. Having sufficient collateral for deals means that
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
Semantic density: old wine, or a new vintage?
Giving AI agents enough context to carry out enterprise tasks has become a priority for firms building them, but it’s expensive. It might not have to be.
Firms get AI access to LSEG data via DataBP admin layer
LSEG has expanded its agreement with DataBP to enable customers’ AI-based tools to request and evaluate data from the exchange and maintain more comprehensive usage records.
Cusip, MSCI make private markets identifiers; major banks back Osera; and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
Waters Wavelength Ep. 359: GPU compute market and Sibos
This week, Shen and Nyela talk about the GPU compute market and recent technology conferences.
Rimes builds agents for exception management
The vendor aims to improve its data foundations to allow for greater agent autonomy.
How long will AI tokenomics matter?
The Waters Wrap: Banks and asset managers are rethinking the economics of AI. Wei-Shen examines how firms will manage token costs.
TT acquires Trafix in 24/7 push, T+1 deadlines in the EU loom, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
Buy-side firms warn semantic layers not a quick fix for AI integration
Semantic layers promise to teach AI what a firm’s data means. Keeping that meaning current is the part that may get overlooked, tech heads warn.