APFIC 2017: Testing, Testing… Firms Employ Trial and Error, AI to Identify Data Value for Analytics
Refining and cleaning data may be time-consuming, but is essential to helping financial institutions perform better analysis on data, panelists in Hong Kong said. Wei-Shen Wong reports.
“The challenge is that you don’t know which data is going to provide the value until you get exposed to the data and have a chance to try it. And that’s a challenge because we need to work with vendors that can provide us with data that we can start to use and see if it’s going to make sense to us. And if it does make sense, we will want to use that and start production of it. But without testing it you don’t really know for sure,” said John Pies, customer insights and analytics director for
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 [email protected] or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact [email protected] to find out more.
You are currently unable to copy this content. Please contact [email protected] 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 [email protected]
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 [email protected]
More on Emerging Technologies
Waters Wavelength
Waters Wavelength Podcast: Episode 232 (AI networking and virtual conferences)
On this episode of the Wavelength Podcast, Wei-Shen brings on Annie Wu, who works on all of WatersTechnology’s events, to chat about the challenges of running a virtual event.
Subscribe to Weekly Wrap emails
Most read
- Waters Wrap: Buzzwords and the hype machine (And editorial judgment)
- Vendors add surveillance support for WhatsApp alternatives
- Waters Wavelength Podcast: Episode 232 (AI networking and virtual conferences)
- Financial institutions battle cyber threat info overload
- Esma: Firms struggled with trade data porting after CME winddown