Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Jaya Susan Mathew

Jaya Susan Mathew
Data Scientist, Microsoft

@mathew_jaya

Jaya Mathew is a senior data scientist on the artificial intelligence and research team at Microsoft, where she focuses on the deployment of AI and ML solutions to solve real business problems for customers in multiple domains. Previously, she worked on analytics and machine learning at Nokia and Hewlett Packard Enterprise. Jaya holds an undergraduate degree in mathematics and a graduate degree in statistics from the University of Texas at Austin.

Sessions

14:55–15:35 Thursday, 24 May 2018
Operationalize deep learning models for fraud detection with Azure Machine Learning Workbench
Data science and machine learning
 Location: Capital Suite 13 Level: Intermediate
Secondary topics:  Financial Services, Time Series and Graphs
Francesca Lazzeri (Microsoft), Jaya Susan Mathew (Microsoft)
Average rating: ****.
(4.00, 2 ratings)
Advancements in computing technologies and ecommerce platforms have amplified the risk of online fraud, which results in billions of dollars of loss for the financial industry. This trend has urged companies to consider AI techniques, including deep learning, for fraud detection. Francesca Lazzeri and Jaya Mathew explain how to operationalize deep learning models with Azure ML to prevent fraud. Read more.