Corporate treasury departments rely on technology to drive productivity and free up time to improve liquidity, reduce risk and optimize costs. More frequently, treasury teams are considering digital treasury tools, including robotic process automation (RPA) and machine learning (ML), in attempts to drive greater automation, insight, and decision making across treasury and finance.
In this video, experts from Kyriba and the Association of Financial Professionals (AFP) will discuss the recent Treasury in Practice Guide’s findings about the interest and use of next generation technologies such as RPA and AI in treasury and what the future holds for the adoption of extreme automation.
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Presenters
Andrew Deichler
Multimedia Content Manager Association for Financial Professionals (AFP)
Andrew Deichler
Multimedia Content Manager Association for Financial Professionals (AFP)
Andrew Deichler
Multimedia Content Manager Association for Financial Professionals (AFP)
Andrew Deichler
Multimedia Content Manager Association for Financial Professionals (AFP)
Andrew Deichler
Multimedia Content Manager Association for Financial Professionals (AFP)