Dave Katz

Making data-driven decisions isn't enough — acting on data quickly is key to unlocking its full value. In this session, we'll explore how data streaming makes data available for analysis within seconds, which is critical for time-sensitive business decisions. We'll showcase high-impact use cases, including real-time reporting and analytics, alert systems that detect anomalies immediately, and ML-powered personalization engines that quickly adapt to user preferences. Join us to learn how RudderStack and Snowflake work together to make customer data streaming more accessible for every company, so marketing, product and data science teams can seize opportunities the moment they arise.

In this talk, consider examples of machine learning and data architecture use cases with Amazon Ads and discuss how your skills can unlock new capabilities. Learn about advertiser needs for reporting, optimization, and performance.