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.
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
Waters Wavelength Podcast: Deutsche Bank’s Boon-Hiong Chan
Boon-Hiong Chan from Deutsche Bank joins the podcast to talk about blockchain interoperability.
SocGen pushes data, analytics use cases for SG Markets
The bank is letting a handful of clients experiment with its proprietary data and models to inform their research.
Ace high or busted flush? Digital Asset’s mixed fortunes mirror DLT adversity
The vendor hoped to remodel post-trade using blockchain technology—and it still might—but its bumpy progress raises questions over the future of DLT in finance.
AI could cut time for money laundering checks by 99%
Leading crypto exchange rolling out large language model for enhanced due diligence checks.
Standard Chartered keeps faith with quantum experimentation
The bank is aiming to future-proof itself with the ability to adopt new technology at an early stage.
Waters Wrap: CME, Google and the pursuit of ultra-low-latency trading
CME Group and Google have announced Aurora, Illinois, as the location for the exchange’s new co-location facility. Anthony explains why this is more than just the next phase of the two companies’ originally announced project.
This Week: Genesis/Interop.io; S&P Global; Finos/OS-Climate and more
A summary of the latest financial technology news.
GenAI: US Fed reveals its five use cases
Internal sandbox used to assess viability and risks; coding and content generation on the agenda.