SigOpt's Machine Learning Looks to Improve Big Banks' Fraud Detection
The San Francisco-based vendor uses Bayesian techniques to improve the modeling and research processes.
Those firms with sophisticated trading strategies that have invested in building machine learning pipelines to better extract value from their data are not going to simply rip and replace with a new solution.
That thinking was a major priority when SigOpt launched last year. The San Francisco-based vendor uses Bayesian optimization—a form of machine learning—to help firms to improve their research and development models and tools. But importantly, the Bayesian platform bolts on top of a firm's
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.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
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. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
BNY Mellon deploys Nvidia DGX SuperPOD, identifies hundreds of AI use cases
BNY Mellon says it is the first bank to deploy Nvidia’s AI datacenter infrastructure, as it joins an increasing number of Wall Street firms that are embracing AI technologies.
This Week: Linedata acquires DreamQuark, Tradeweb, Rimes, Genesis, and more
A summary of some of the latest financial technology news.
Systematic tools gain favor in fixed income
Automation is enabling systematic strategies in fixed income that were previously reserved for equities trading. The tech gap between the two may be closing, but differences remain.
Euronext microwave link aims to cut HFT advantage in Europe
Exchange plans to level playing field between prop firms and banks in cash equities with cutting edge tech.
Why recent failures are a catalyst for DLT’s success
Deutsche Bank’s Mathew Kathayanat and Jie Yi Lee argue that DLT's high-profile failures don't mean the technology is dead. Now that the hype has died down, the path is cleared for more measured decisions about DLT’s applications.
‘Very careful thought’: T+1 will introduce costs, complexities for ETF traders
When the US moves to T+1 at the end of May 2024, firms trading ETFs will need to automate their workflows as much as possible to avoid "settlement misalignment" and additional costs.
Waters Wrap: Examining the changing EMS landscape
After LSEG’s decision to sunset Redi, Anthony examines what might lie ahead for the EMS space.
Broadridge CEO: ‘We intend to be a leader in AI’
In 2023, Broadridge became one of the first capital markets-focused companies to roll out a GPT-powered tool. Now it is looking across use cases and foundational models to determine where to plant its flag next.
Most read
- Sell-Side Technology Awards 2024: Best sell-side front-office platform—Bloomberg
- Sell-Side Technology Awards 2024: All the winners
- Systematic tools gain favor in fixed income