When AI agents truly connect, businesses move beyond isolated AI experiments to unlock scale and innovation. In this episode, Confluent's Sean Falconer dives into the Agent2Agent protocol, why agents need both fresh data and a powerful infrastructure, and how a data streaming platform turns isolated agents into a connected, business-driving force.

In a highly regulated industry where every millisecond matters, Swedbank is shifting its data strategy to move fast without breaking trust. In this episode, Rami Al Lolah, Lead Architect at Swedbank’s Integration Center of Excellence, shares how the bank built a future-proof foundation using Apache Kafka with Confluent Cloud.

How does a data streaming platform (DSP) unlock ROI? Confluent’s Andrew Sellers breaks it down in this special episode, sharing insights from the 2025 Data Streaming Report. From faster time to market to smarter AI, tune in and learn how 4,000+ IT leaders are driving business impact and up to 5x ROI with DSPs.

Strategic partnerships don’t work without trust. And in the data streaming world, trust begins with transparency. Confluent’s Elena Cuevas breaks down the art of cloud partnerships in the world of data streaming. From AWS to Azure, she reveals how collaboration—not competition—drives customer value at scale.

Allium’s CEO, Ethan Chan, reveals how Confluent’s data streaming platform helps them deliver clean, real-time blockchain data across nearly 100 chains, and why building your own infrastructure just doesn’t scale.

Joe Pardi of Covetrus shares how they unified data systems post-M&A and reduced latency by building a streaming-first architecture on Confluent Cloud to power real-time decision making in animal health technology.

AI agents are already here, reshaping how data moves. In this episode, Airy’s Co-founder and CEO, Steffen Hoellinger, shares how his team uses real-time data streaming with Confluent to power agentic AI and deliver faster, smarter decisions at scale.

When legacy systems failed during critical union votes, APFA’s Todd Smitala, technology solutions architect, led a high-stakes real-time data transformation. Learn how Confluent Cloud enables a data streaming platform to support 27,000 flight attendants with speed, scale, and reliability.

Whether you're an executive setting the strategy or an architect building the backbone, alignment is the key to turning transformation from a buzzword into results. Rick Hernandez, principal technical architect at EY, shares how to unlock shared vision and turn it into enterprise-wide data streaming success.

Want your real-time data streaming initiative to stick? Success hinges on more than pipelines—it’s about people, governance, and business impacts. Jeffrey Johnathon Jennings (J3), managing principal at signalRoom, shares how to bring it all together.

Despite its value, legacy data can feel like a roadblock in a fast-paced digital world—Henry Schein One is clearing the path forward with real-time data streaming.

In the final episode of our 3-part series on the basics of data streaming, we take a deep dive into data integration—covering everything from data governance to data quality.

We’re diving even deeper into the fundamentals of data streaming to explore stream processing—what it is, the best tools and frameworks, and its real-world applications.

Our first episode breaks down the basics of data streaming—from what it is, to its pivotal role in processing and transferring data in a fast-paced digital environment.