How AI Is Reshaping The Role Of A Treasury Manager

Presented by

Tracey Ferguson Knight, Director- Solution Engineering Treasury, HighRadius

About this talk

In this webinar discover how: 1. AI and automation have improved the speed and accuracy of Cash Forecasting Process 2. Managers are able to get a consolidated view of all their different forecasts along with clear visibility into each forecast's methodology, assumptions. 3. Variance analysis of historical forecasts at category level can help them estimate the accuracy of current forecasts 4. How this strategic shift in the role would redefine the KPIs on which managers will be evaluated Artificial Intelligence is now being hailed as the Fourth Industrial revolution! While the influence of the steam and electric revolutions was limited to the shop floor, it was the IT revolution that first altered the working habits of treasury managers. ERPs, TMS, and spreadsheets replaced accounting books, improved information access, and eased collaboration. The result was better efficiencies which in turn broadened a manager’s scope of work but traditional challenges still remained. The forecasts were still unreliable with AR and AP continuing to remain inaccurate, their visibility into the forecast methods and assumptions has not improved and the speed with which they could get a forecast updated remains woefully slow. Today, Artificial Intelligence and automation are combining the skills of human and machine to once again reinvent Treasury functions. What does this mean for the future of a Treasury Manager? Join us in the 30-minute webinar including Q&A where experienced Treasury Professional and AI Expert, Tracey Knight would give an end-to-end explanation of the improved role of the Treasury Manager using AI-enabled Cash Forecasting.
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