FIS Turning to Machine Learning for Private-Equity Solutions

FIS is pushing to add greater automation for its private-equity business in an effort to streamline workflows.

machine-learning

FIS is turning to emerging technologies, particularly robotic process automation (RPA) and machine learning, to boost its capabilities in the private-equity space.

Tony Chung, general manager and global head of private equity at FIS, says the goal is to further automate and streamline workflows for private-equity firms.

One of the challenges for private-equity firms is that a lot of the data collection is manual, so there is a risk for human error and operational risk when employees who

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

Register for free

Access two articles, our IMD and Waters Wraps, plus a member newsletter. Find out more.

All fields are mandatory unless otherwise highlighted.

This address will be used to create your account

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