Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

How to successfully reinvent productivity in finance with machine learning (Hint: machine learning is only part of it.)

Matt Conners (Microsoft)
9:05am9:30am Tuesday, March 6, 2018
Data-driven business management
Location: LL20 A Level: Non-technical

If data is the new oil, then finance is sitting on top of vast reserves. Finance is ripe for applying machine learning to drive business outcomes. But reinventing finance with ML requires more than cutting-edge technology. It requires transforming finance professionals skills, setting executives’ expectations, creating new roles, and implementing Agile processes. How can you drive successful business transformation with machine learning?

Matt Conners describes the process Microsoft’s data sciences and finance teams implemented and the lessons the teams learned while bringing machine learning forecasting to the office of the CFO by improving forecast accuracy and frequency and driving cultural change through a finance center of excellence.

Matt Conners

Microsoft

Matt Conners is a statistician and data sciences practitioner with extensive business operations and industry domain experience. He has over 20 years of financial technology experience across sales, marketing, business operations, securities, and banking. He has worked at Microsoft since 1995. He is a program manager in the Data Group working with customers, partners, and data scientists on financial forecasting solutions.