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: http://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.
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 info@waterstechnology.com
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 info@waterstechnology.com
More on Emerging Technologies
Former Goldman analyst aims to blend GenAI and synthetic data with start-up
Synthera.ai is taking a novel approach to calculating risk. While promising, industry observers are skeptical.
Waters Wavelength Podcast: Bloomberg’s Tony McManus
Tony McManus, global head of enterprise data division at Bloomberg, joins the podcast to talk about the importance of data in the context of AI and GenAI.
Devil’s Bargain: Closed architecture systems will derail AI ambitions
Rob Flatley explains why closed-off systems will fall flat when it comes to AI adoption.
This Week: First Trust/Bloomberg/New Constructs, Cboe/Metaurus, LTX/MultiLynq, and more
A summary of the latest financial technology news.
Waters Wavelength Podcast: S&P’s CTO on AI, data, and the future of datacenters
Frank Tarsillo, CTO at S&P Global Market Intelligence, joins the podcast to discuss the firm’s approach to AI, the importance of data, and what might be in store for datacenters in the coming years.
BMO’s cloud migration strategy eases AI adoption
The Canadian bank is embracing a more digital future as its cloud strategy makes gains and it looks to both traditional machine learning and generative AI for further augmentation.
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.
Most read
- Waters Wavelength Podcast: S&P’s CTO on AI, data, and the future of datacenters
- Chris Edmonds takes the reins at ICE Fixed Income and Data Services
- Breaking out of the cells: banks’ long goodbye to spreadsheets