OCTOBER 6TH, 2026
12:00PM - 1:00PM CDT
VIRTUAL WEBINAR
About This Webinar
Most enterprises realize too late that moving data quickly is not the same as producing correct business outcomes. This session draws on real-life lessons from building and scaling data streaming platforms: exploring the decisions that worked, the assumptions that failed, and the production problems that only become visible at scale. Whether you're building streaming platforms or AI agents that depend on real-time data, learn how to keep data correct, observable, recoverable, and trustworthy as your systems grow.
What We'll Cover
Beyond Real-Time Delivery
Understand the challenges that emerge after the first successful event moves through a streaming platform, including connector failures, duplicate events, and conflicting downstream assumptions.
Data Correctness & Trustworthiness
Learn how to preserve data meaning and integrity as more teams adopt the platform and business requirements continue to evolve.
Scaling Decision Frameworks
Explore real-world decisions, assumptions that failed, and production lessons that determine whether real-time systems succeed at scale.
Real-Time for AI Systems
Apply streaming platform lessons to building AI agents and capabilities that must react to current conditions while maintaining correctness and observability.

Who This Webinar is For
Platform & Infrastructure Leaders
Concerned about platform reliability and the hidden costs of data movement across systems.
Data & Governance Leaders
Accountable for ensuring data stays correct, observable, recoverable, and trustworthy as platform adoption grows.
AI-Focused Executives
Building AI agents and real-time capabilities that depend on accurate, trustworthy data streams.
Workshops Speaker

Mark Soule
Principal Engineer, Improving
With deep expertise in backend technologies and distributed systems, Mark has built and scaled data streaming platforms that operate reliably in production. He's passionate about turning hard-won lessons, from real failures and successes, into solutions that help organizations build trustworthy, real-time systems at scale.
