Tech in Tandem: Generative AI, ML and the Future of Finance
# AI
# Technology
A vision from Mastercard’s Nima Sepasy of how combining emerging technologies will shape the office of the CFO.
In a video you can watch by hitting the play button below, Mastercard Senior Vice President for Innovation, Insight and Engagement Nima Sepasy shares his views on how machine learning and generative AI—often used in tandem—will help shape the office of the CFO in the future.
While deep learning and machine learning models “will do the heavy lifting,” he says, generative AI will provide benefits that include shifting the interface to those technologies, automating complex processes and “pulling in nontraditional data, unstructured data sets, in a way that can be leveraged.”
Earlier this year, at the spring meeting of NeuGroup for Mega-Cap Treasurers hosted by Mastercard, Mr. Sepasy gave a presentation to members about the scope of commerce solutions Mastercard is developing that tap into emerging technologies like generative AI and machine learning.
Technologies in tandem. Mr. Sepasy says the power of emerging technologies lies in part by combining them. “We rarely look at any one [technology] in isolation. What we’re trying to solve for is what is the job to be done, and then how can we bring the right technologies to the table to accomplish those tasks.”
For treasury, he says, the tasks where generative AI and machine learning will pay off include risk management, cash flow forecasting and cross-border payments.
Indeed, some NeuGroup members are using machine learning models to improve cash forecasting. One example is the treasury team at Bechtel, featured in a recent episode of NeuGroup’s Strategic Finance Lab podcast available on Apple and Spotify.
Dynamic liquidity management. In the video, taken from an upcoming episode of the podcast, Mr. Sepasy describes a cash flow and liquidity solution Mastercard is piloting in Europe designed to help bank treasurers manage liquidity more effectively. It uses machine learning and real-time payments data.
He says the “dynamic liquidity management” made possible by the solution will ultimately help both bank and corporate treasurers anticipate future needs and make more informed decisions about cash flow, reduce operational costs and ensure regulatory compliance.
