NAFIS 2017: Evolving Data Science Key to Effective Data Mining
Integrating data science projects will be key for institutions to get the most out of data in the future, but skillsets and the role of data scientist teams are still evolving. Joanne Faulkner reports.

Victor Tewari, a senior technology officer at BMO Financial Group, who moderated the discussion, said that firms are starting to realize they have “an ocean of information not only within their firms but within their grasps. Data is quite cheap, and that information is only as useful as how well you can actually mine that information and derive meaning from it.”
To achieve that, firms need a data science function, but it’s equally important to define that function, said Jenna Ahn, vice
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.