SecurityScorecard's engineering team shares how going schema-first with Apache Kafka® and Confluent Cloud cut processing time from a weekend to near real-time.

Learn how CARIAD scales a Unified Data Ecosystem for 45M+ vehicles using Confluent Cloud and Apache Flink®. Explore a multi-region architecture that unifies data silos, eliminates legacy ETL, and powers real-time AI, safety alerts, and GDPR compliance at petabyte scale.

Brady Perry, Co-founder and CTO of Busie, shares how they are modernizing for group mobility. Discover how real-time data streaming became the backbone of their platform—and how an event-driven architecture with Apache Kafka® enabled a small team to decouple services, stay resilient, and ship value faster with Confluent Cloud.

AI is reshaping everything from who your customers are to how data is governed, secured, stored, and leveraged—powering a new generation of intelligent data strategies. Tune in as industry thought leaders unpack the biggest trends shaping agentic AI, data streaming, and modern data architectures in 2026.

MarketAxess modernized its trade infrastructure by moving from legacy systems to a real-time data streaming platform built on Apache Kafka® and Confluent Cloud. Andy Steinmann, Software Engineering Manager at MarketAxess, shares how this shift unlocked hybrid architecture and infinite scale with zero outages.

Our host, Joseph Morais revisits the most impactful moments across data streaming, event-driven architecture, and AI, showing how real-time data became the backbone of modern data systems and decision making in this year-end highlight.

Mohamed Ahmed Anwar of sccc by stc, a leading cloud services provider in Saudi Arabia, shares how they are embedding Confluent to power secure, scalable AI with real-time data streaming across Saudi Arabia’s digital economy.

Recorded from the expo hall at Current New Orleans, Joseph Morais and Adi Polak break down keynote insights, trends in Apache Kafka®️, Apache Flink®️, and agentic AI, plus voices from the community shaping the future of real-time data streaming.