Systems | Development | Analytics | API | Testing

Confluent CEO Jay Kreps shares how unifying batch and streaming workflows lets teams build, test, and deploy AI-ready data pipelines–in real time.

AI and real-time data automate credit checks, speed mortgage approvals.

Confluent’s Addison Huddy breaks down hybrid cloud and on-prem streaming with a bold metaphor and platform overview.

Ethan Chan, CEO of Allium, reveals the hidden costs of self-managing data streaming and why Confluent Cloud saved him and his team from late-night pager duty.#datastreaming.

Blockchain may be decentralized, but reliable access to its data is anything but simple. In this episode, Ethan Chan, Co-Founder & CEO of Allium, shares how his team transforms blockchain firehoses into clean, queryable, real-time data feeds. From the pitfalls of hosting your own data streaming infrastructure to the business advantages of Confluent Cloud, Ethan reveals the strategic decisions that helped Allium scale from 3 to nearly 100 blockchains, without burning out their engineering team.

Merging data systems post-acquisition? Joe Pardi, Senior Director of Global Data Engineering at Covetrus, explains how real-time data streaming architecture makes 1+1=3.&A.

For enterprises managing sprawling systems and frequent M&A activity, data latency isn’t just inconvenient—it’s a blocker to business value. In this episode, Joe Pardi, Senior Director of Global Data Engineering at Covetrus, explains how his team replaced fragile data pipelines with a robust real-time data streaming architecture that enables instant decisions across the entire enterprise.

Steffen Hoellinger, CEO of Airy, details how they use AI and data streaming to increase developer productivity and enable a self-serve data experience for business users.

Join us to explore how Confluent is unifying streaming and batch to power real-time, AI-ready applications. Learn about our latest product innovations, hear directly from customers, and see what’s next in the future of data.