TOFIS Panel on Machine Learning, AI: ‘Try Everything, Kill What Doesn’t Work’
Panelists at the recent Toronto Financial Information Summit outline the key opportunities and challenges for machine learning and artificial intelligence in the financial markets.
During a panel discussion specifically addressing how firms are using data to drive innovation, an audience poll revealed that the top challenges for attendees’ organizations are resources and access to data/data quality, attracting 56 percent and 31 percent of respondents’ votes, respectively, while 6 percent cited technology as their top challenge.
With resources under pressure, firms don’t have time to invest in long-term exercises, but must act quickly to take advantage of opportunities
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
Waters Wavelength Ep. 307: The shrinking OMS landscape
This week, Tony and Nyela discuss FactSet’s recent acquisition of LiquidityBook and what it could signal for trading technology.
Banks urged to track vendor AI use, before it’s too late
Veteran third-party risk manager says contract terms and exit plans are crucial safeguards.
Market data woes, new and improved partnerships, acquisitions, and more
The Waters Cooler: BNY and OpenAI hold hands, FactSet partners with Interop.io, and trading technology gets more complicated in this week’s news round-up.
Waters Wavelength Ep. 306: Reykjavik and market data
Reb is back on the podcast to talk about her trip to Reykjavik, as well as two market data reports released this month.
BlackRock tests ‘quantum cognition’ AI for high-yield bond picks
The proof of concept uses the Qognitive machine learning model to find liquid substitutes for hard-to-trade securities.
JP Morgan, Eurex push for DLT-driven collateral management
The high-stakes project could be a litmus test for the use of blockchain technology in the capital markets.
For AI’s magic hammer, every problem becomes a nail
A survey by Risk.net finds that banks are embracing a twin-track approach to AI in the front office: productivity tools today; transformation tomorrow.
On GenAI, Citi moves from firm-wide ban to internal roll-out
The bank adopted three specific inward-facing use cases with a unified framework behind them.
