Sep 23–26, 2019

Jennifer Yang
Head of Data Management and Data Governance, Wells Fargo ECS

Jennifer Yang is the head of data management and data governance at Wells Fargo Enterprise Core Services. Previously, Jennifer served various senior leadership roles in risk management and capital management at major financial institutions. Her unique experience allows her to understand data and technology from both the end user’s and data management’s perspectives. She’s passionate about leveraging the power of new technologies to gain insights from the data to develop cost-effective and scalable business solutions. Jennifer holds an undergraduate degree in applied chemistry from Beijing University, a master’s degree in computer science from the State University of New York at Stony Brook, and an MBA specializing in finance and accounting from New York University’s Stern School of Business.

Sessions

9:05am–9:45am Tuesday, September 24, 2019

Location: 1A 08

Machine learning in data quality management

Case studies

Secondary topics: Data quality, data governance and data lineage, Financial Services

Jennifer Yang (Wells Fargo ECS)

Jennifer Yang discusses a use case that demonstrates how to use machine learning techniques in the data quality management space in the financial industry. You'll discover the results of applying various machine learning techniques in the four most commonly defined data validation categories and learn approaches to operationalize the machine learning data quality management solution. Read more.