Recognos Details How AI Can Help Back-Office Processes
Yesterday, Recognos unveiled improvements to its Reference Data Center utility offering, using, in part, machine learning and natural-language processing techniques.
As artificial intelligence (AI) techniques improve, it's only natural that they will seep into newer and more varied functions throughout the capital markets ecosystem.
For the March issue of Waters, I detailed how machine learning is being deployed for front-office trading operations, specifically for market-timing strategies and other predictive processes.
Machine learning can be used to help improve risk management and surveillance systems. An article in this month's issue of Inside Reference
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 Data Management
SIX is preparing its data for clients that aren’t people
The Swiss exchange operator is betting that context and lineage will keep its market data relevant if AI agents become primary data consumers.
AI assistants for human overseers? Or human checks and balances for AI actors?
The Waters Wrap: Speakers at a recent Bloomberg event emphasized the importance of keeping a human in the AI loop—but, Max asks, for how long?
Fraud, breach of contract suit against LSEG can proceed, judge rules
Exchange group’s motion to dismiss fraud and breach of contract claims was denied on Friday in a Delaware court.
The Big Bang—a complex 40-year data journey yet to reach its destination
In this guest column, Finbourne’s Gus Sekhon reflects on the deregulation and privatization of the London Stock Exchange and what it meant for data.
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.
Rimes builds agents for exception management
The vendor aims to improve its data foundations to allow for greater agent autonomy.
The great migration: Firms work to integrate ISO 20022
Banks and asset managers are working to adopt the new messaging standard, but it’s easier said than done.
