Harness the power of big data and AI to deliver highly tailored financial services while minimizing risk and fighting fraud
Enable financial services companies to leverage data analytics, machine learning and AI to make smarter, faster decisions that reduce risk and protect against fraud — powered by the Databricks Unified Data Analytics Platform.
Detect fraud, financial abuse, cyber security threats, money laundering and reduce financial risk
Maximize returns with AI- powered insights based on billions of market signals and data points.
Deliver the right financial products and guidance at the right time with real-time analytics and AI.
Nationwide leverages data analytics and deep learning to improve insurance pricing with Databricks
Read this ebook to learn how to unify big data and AI in the financial services industryDownload
This ebook will walk you through a practical end-to-end Machine Learning use case to do loan risk analysis using Databricks and XGBoost.Get the eBook
Learn how FINRA processes and analyzes up to 100 billion stock market events per day to identify fraud powered by Databricks and Apache Spark™Watch Now
Build an end-to-end pipeline capable of analyzing large volumes of streaming and historical stock price data in real-time while maintaining ACID complianceRead More
Learn how CardinalCommerce, owned by Visa, adopted the Databricks Unified Analytics Platform to improve their ETL pipelines and power their machine learning for payment authentication and fraud detection servicesWatch Now
Find out how Omega Point improved the productivity of their data science and engineering teams and reduced costs by 75% to deliver machine assisted insights on DatabricksRead More
"Databricks' world-class product, Spark expertise. and quality of service has made them an indispensable partner in building a product with Apache Spark. "
Read the Case Study