Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Swatee Singh

Swatee Singh
Vice President, Big Data Platform, and Distinguished Architect, Machine Learning Platform, American Express

Swatee Singh is the first female Distinguished Architect at American Express, where she is spearheading machine learning transformation at the company. Swatee is a proponent of democratizing machine learning by providing the right tools, capabilities, and talent structure to the broader engineering and data science community. The platform her team is building looks to leverage American Express’s closed loop data to enhance its customer experience by combining artificial intelligence, big data, and the cloud, incorporating guiding pillars such as ease of use, reusability, shareability, and discoverability. Swatee also led the American Express Recommendation Engine roadmap and delivery for card-linked merchant offers as well as for personalized merchant recommendations. Over the course of her career, she has applied predictive modeling to a variety of problems ranging from financial services to retailers and even power companies. Previously, Swatee was a consultant at McKinsey & Company and PwC, where she supported leading businesses in retail, banking and financial services, insurance, and manufacturing, and cofounded a medical device startup that used a business card-sized thermoelectric cooling device implanted in an epileptic’s brain as a mechanism to stop seizures. Swatee holds a PhD focusing on machine learning techniques from Duke University.

Sessions

11:30am–12:00pm Tuesday, 09/11/2018
Location: 1A 08
Swatee Singh (American Express)
Average rating: ****.
(4.33, 6 ratings)
Artificial intelligence (AI) is now being adopted in the financial world at an unprecedented scale. Swatee Singh discusses the need to “democratize” AI in the company beyond the purview of "unicorn" data scientists and offers a framework to do this by stitching AI with the cloud and big data at its backend. Read more.