Posts by Navin Albert

On July 18th, we hosted a live webinar —Using ML and Azure to improve customer lifetime value - with Rob Saker, Industry Leader - Retail Industry, Colby Ford,  Associate Faulty - School of Data Science, UNC Charlotte and Navin Albert,  Solutions Marketing Manager at Databricks. This blog has a recording of the webinar and some of...

On June 13th, we hosted a live webinar — Simplifying Streaming Stock Analysis using Delta Lake and Apache Spark — with Junta Nakai, Industry Leader - Financial Services at Databricks, John O’Dwyer, Solution Architect at Databricks, and Denny Lee, Technical Product Marketing Manager at Databricks. This is the first webinar in a series of financial...

FINRA (Financial Industry Regulatory Authority), a regulatory body charged with protecting the U.S. securities market, spoke at the Spark + AI Summit on how they use Databricks Unified Analytics Platform to analyze up to a 100 billion stock market events per day for fraud detection and prevention. This is a summary of their story from Summit....

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...

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...