Next generation technologies that support the improvement of data quality are on the agenda at many financial institutions as they look to improve their regulatory response and consider how to gain competitive advantage. Among the technology options, data automation and cognitive technologies offer significant potential, along with managed services and cloud computing.
Market appetite for new technologies and specific solutions for data quality were discussed during a recent A-Team Group webinar. The webinar was moderated by A-Team editor Sarah Underwood and joined by experts Tony Brownlee, a partner at Kingland Systems; Brian Sentance, CEO at Xenomorph; and Rick Aiere, an insurance consultant.
A poll held early in the webinar showed 82% of listeners considering the implementation of next generation technologies to improve data quality. An exit poll considering which type of technology could best help firms with data quality showed 43% of listeners favouring data automation, 28% cognitive technologies, 10% managed services and 8% cloud computing.
The webinar panel reviewed the regulatory and competitive drivers of better data quality and discussed the merits of a number of technology solutions. It suggested there is more potential in cloud computing and managed services than has yet been realised, and forecast extensive take-up of emerging cognitive and data automation technologies.
It also discussed the problems financial institutions need to take into account when deploying new technologies, and considered the value of next generation technologies in terms of competitive advantage.
To find out more about:
- Drivers behind data quality improvement
- Potential of next generation technologies
- Market interest in specific solutions
- Issues around new technology deployment
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