Improving
WEBINAR

Real Time Is The Easy Part: Lessons Learned Building Streaming Platforms

Discover critical lessons from building data streaming platforms at scale, from connector failures to ensuring data correctness and trust in production systems.
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OCTOBER 6TH, 2026

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12:00PM - 1:00PM CDT

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VIRTUAL WEBINAR

OVERVIEW

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.

LEARNING OBJECTIVES

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.

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Register Now

Sign up to attend this virtual webinar on October 6th, 2026 at 12:00PM CDT.

AUDIENCE

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.

PRESENTER

Workshops Speaker

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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.

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What's Next?

If you recognize these streaming platform challenges in your own systems, book a real-time systems assessment. We'll review your architecture against the decision frameworks from this session and map a path forward.