Detecting Financial Fraud at Scale with Decision Trees and MLflow on Databricks
Detecting fraudulent patterns at scale is a challenge, no matter the use case. The massive amounts of data to sift through, the complexity of the constantly evolving techniques, and the very small number of actual examples of fraudulent behavior are comparable to finding a needle in a haystack while not knowing what the needle looks...
A Guide to Innovative Retail Talks at Spark + AI Summit 2019
The retail industry has been leading the pack in harnessing the power of big data and AI to drive customer engagement. By analyzing customer data and purchasing behavior, retail companies can leverage the latest machine learning technologies to deepen customer insights and deliver tailored shopping experiences that captivate customers across every channel. Spark + AI...
