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 info@waterstechnology.com or view our subscription options here: https://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
Editor’s Picks: Our best from 2025
Anthony Malakian picks out 10 stories from the past 12 months that set the stage for the new year.
The next phase of AI in capital markets: from generative to agentic
A look at some of the more interesting projects involving advanced forms of AI from the past year.
Market data costs defy cyclicality
Trading firms continue to grapple with escalating market data costs. Can innovative solutions and strategic approaches bring relief?
As trading firms embrace AI, so do hackers
According to a Google cybersecurity report, cybercriminals are turning to AI to sharpen their attacks.
AI & data enablement: A looming reality or pipe dream?
Waters Wrap: The promise of AI and agents is massive, and real-world success stories are trickling out. But Anthony notes that firms still need to be hyper-focused on getting the data foundation correct before adding layers.
Waters Wavelength Ep. 343: Broadridge’s Jason Birmingham
This week, Jason Birmingham of Broadridge talks with Tony about the importance of fundamentals as technology rapidly evolves.
Data standardization is the ‘trust accelerator’ for broader AI adoption
In this guest column, data product managers at Fitch Solutions explain AI’s impact on credit and investment risk management.
BNY inks AI deal with Google, Broadridge moves proxy voting to AWS, Expero delivers ICE market data, and more
The Waters Cooler: TSX Venture Exchange data hits the blockchain, SmartTrade acquires Kace, and garage doors link to cloud costs in this week’s news roundup.
