On-Demand Webinar: Granular Demand Forecasting At Scale
We recently hosted a live webinar — How Starbucks Forecasts Demand at Scale with Facebook Prophet and Databricks — During this webinar we learnt why Demand Forecasting is critical to Retail/ CPG firms and how it enables 22 other use cases. Brendan O’Shaughnessy, Data Science Manager at Starbucks walked us through how Starbucks does demand...
Simplify Data Lake Access with Azure AD Credential Passthrough
Azure Databricks brings together the best of the Apache Spark, Delta Lake, an Azure cloud. The close partnership provides integrations with Azure services, including Azure’s cloud-based role-based access control, Azure Active Directory(AAD), and Azure’s cloud storage Azure Data Lake Storage (ADLS). Even with these close integrations, data access control continues to prove a challenge for...
Scaling Financial Time Series Analysis Beyond PCs and Pandas: On-Demand Webinar, Slides and FAQ Now Available!
On Oct 9th, 2019, we hosted a live webinar —Scaling Financial Time Series Analysis Beyond PCs and Pandas — with Junta Nakai, Industry Leader Financial Services at Databricks, and Ricardo Portilla, Solution Architect at Databricks. This was a live webinar showcasing the content in this blog- Democratizing Financial Time Series Analysis with Databricks. Please find...
Using ML and Azure to improve Customer Lifetime Value: On-Demand Webinar and FAQ Now Available!
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...
Simplifying Streaming Stock Analysis using Delta Lake and Apache Spark: On-Demand Webinar and FAQ Now Available!
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...
Protecting the Securities Market with Predictive Fraud Detection
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 Financial Fraud at Scale with Decision Trees and MLflow on Databricks
Detecting fraudulent patterns at scale using artificial intelligence is a challenge, no matter the use case. The massive amounts of historical data to sift through, the complexity of the constantly evolving machine learning and deep learning techniques, and the very small number of actual examples of fraudulent behavior are comparable to finding a needle in...
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...
