Finastra Uses Machine Learning for Fat-Finger Detection
The new piece of technology aims to tackle issue of erroneous trades at the source.
Named FusionCapital Detect, the algorithm uses machine learning to track clearly erroneous trades before they can go through the entire post-trade process—and halt them before they become a headache for treasury departments and possibly end the careers of clumsy traders.
Finastra, which was formed in mid-2017 through the merger of Misys and D+H, is preparing to sign its first deal for the product, which began through its Fusion Reactor innovation program, Nadeem Syed, the company’s chief
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: http://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
AI co-pilot offers real-time portfolio rebalancing
WealthRyse’s platform melds graph theory, neural networks and quantum tech to help asset managers construct and rebalance portfolios more efficiently and at scale.
Waters Wavelength Ep. 301: SIX’s Javier Hernani
Javier Hernani, head of securities services at SIX, joins to discuss everything T+1.
Bloomberg debuts GenAI news summaries
The AI-generated summaries will allow financial professionals to consume more data, faster, officials say.
8 bank CTOs and CDOs sound off on artificial intelligence
Waters Wrap: Last year, WatersTechnology spoke with heads of technology and data from a range of tier-1 banks. Anthony pulls at one common thread from those interviews: AI.
Waters Wavelength Ep. 300: Reflecting on humble beginnings
It is our 300th episode! Tony and Shen reflect on how it all started.
An inside look: How AI powered innovation in the capital markets in 2024
From generative AI and machine learning to more classical forms of AI, banks, asset managers, exchanges, and vendors looked to large language models, co-pilots, and other tools to drive analytics.
Asset manager Saratoga uses AI to accelerate Ridgeline rollout
The tech provider’s AI assistant helps clients summarize research, client interactions, report generation, as well as interact with the Ridgeline platform.
LSEG rolls out AI-driven collaboration tool, preps Excel tie-in
Nej D’Jelal tells WatersTechnology that the rollout took longer than expected, but more is to come in 2025.
