Skip to main content

EFIS 2016: Execs Embrace ‘Rise of the Machines' for Data Management, Trading

Panelists acknowledged a skills gap that is hampering even faster takeup of machine-learning tools.

efis-machine-learning-panel

Shannon Walker, chief operating officer of the chief data office at Deutsche Bank, described how the bank is building a data science platform mainly focused on organizational complexity and making sense of what functions are consuming data, in what locations, and for what purposes.

Meanwhile, BNP Paribas is using machine learning "in a systematic and statistical way.... digging up a trading system's behavior to enable decisions to be made from data that we have there," said Richard Bell, UK

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 copy this content. Please contact info@waterstechnology.com to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

M&As, MCPs and why clean data is essential

The Waters Wrap: Financial firms are racing to adopt AI—but the payoff depends on having the right foundations, particularly clean, normalized data, writes Wei‑Shen.

How governance-first architecture stabilizes complex systems

Chetan Patil argues that many transformation projects fail not because of the technology but because of weak data governance. Adopting a governance-first discipline early (and building speed, resiliency, and credibility over time) is best.

Most read articles loading...

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here