Data Science Lesson: Execs Urge Caution, Focus on Widespread Data Science Use

To a hammer, every problem looks like a nail. Similarly, many in the financial industry think the growing data science space will solve all problems. But firms should be more critical of their needs before using data science as a hammer.

data-science-panel-ronald-jansen-ubs-manoj-narang-mana-partners-john-crouch-ideal-prediction-edouard-alligand-quasardb

Financial firms should not be misled into thinking that a data science group or initiative will necessarily solve their challenges—data-related or otherwise, said a panel of technologists at a private event organized by French database technology vendor QuasarDB, adding that the success or failure of data science projects hinges on them being tied to specific business cases, rather than them being created to perform unspecified, generic tasks.

“What I’ve seen be successful is a small group

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 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

Waters Wrap: GenAI and rising tides

As banks, asset managers, and vendors ratchet up generative AI experiments and rollouts, Anthony explains why collaboration between business and tech teams is crucial.