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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.