Machine Learning at American Express

By attending this event you will get an overview of Machine learning applications at American express as well as sharing experiences of solving big data challenges that will benefit data scientists with different background.

Meet the speakers:

Ted Dunning | MapR | Chief Application Architect
Ted Dunning is Chief Application Architect at MapR Technologies and committer and PMC member of the Apache Mahout, Apache ZooKeeper, and Apache Drill projects . Ted has been very active in mentoring new Apache projects and is currently serving as vice president of incubation for the Apache Software Foundation . Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems. He built fraud detection systems for ID Analytics (LifeLock) and he has 24 patents issued to date and a dozen pending. Ted has a PhD in computing science from the University of Sheffield. When he’s not doing data science, he plays guitar and mandolin. He also bought the beer at the first Hadoop user group meeting.

Chao Yuan | American Express | SVP, Decision Science and Targeting for US Consumer Services Risk
Chao has been a significant contributor to the Risk and Information Management team since he joined American Express in 1996. From his roles leading the global fraud modeling team to his more recent role as the head of modeling and decision science for the US Consumer business, Chao has been a major driver of large modeling transformations, which include fraud, credit and marketing models. His expertise also serves well in his role as the chairman of the Global Modeling Strategy Committee – which is responsible for globalizing and innovating across modeling end-to-end processes and capabilities. Chao is also leading the innovative efforts we are making to transform our new member targeting, customer cross-sell, upgrade and retention strategies in the evolving digital and Big Data environment.

Agenda:
6.00-6.45pm: Networking & Registration
6.45-7.00pm: Presentation
7.00-7.45pm: Talk
7.45-8.30pm: Fireside chat + Q&A session