How do you bring real-time data to AI and machine learning models? Kai Waehner, Field CTO at Confluent, explains how to use Flink for real-time model inference to power use cases for generative AI, real-time analytics, predictive maintenance, and more.

This week, we’re excited to introduce Data Flow—a powerful no-code, data flow designer that simplifies data preparation for analytics, predictive modeling, and AI use cases.

How often have you sat in meetings trying to answer seemingly basic questions about your business, only to realize you don't have the data to answer them? Questions like: How many touches does it typically take to close a deal? Which lead sources are actually working? Why are some reps consistently outperforming others? If you've struggled to answer questions like these, you're not alone. I recently sat down with Noah Burkholz, Director of RevOps at demandDrive, to learn how they tackled this exact problem.