Making the Future of Finance Real with Machine Intelligence: A GR/IR Use Case

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Many leading organizations are discovering that machine intelligence can help make finance less taxing, simplify processes, and ultimately support top-line growth. And there is no shortage of potential applications—with goods-receipt/invoice-receipt (GR/IR) clearing a prime candidate for transformation. Join us for an exploration of what an effective GR/IR machine learning solution looks like. This session will examine how new tools—aligned with business processes—can help reduce manual labor, accelerate transactions, boost information transparency, and position the finance organization to address more strategic needs. In addition to an overview of the opportunities with today’s machine learning revolution, this session will take an up-close look at specific challenges at the intersection of machine learning and GR/IR—and how you can begin solving them. Discussion will cover model machine learning scenarios for finance, lessons learned, and the team considerations that arise when people and new intelligent tools work side by side in the finance organization.

Speaker

• Smitha Chowdavarapu, Manager, Deloitte