Real-time business depends on real-time data—but streaming data is only as valuable as the context, quality, and trust behind it. Join our next community show with Karthikeyan Mani for a practical look at Kafka and how event-driven data can support faster operations, better decisions, and stronger AI outcomes.
In this session, we will explore how streaming architectures help organizations move beyond batch processes and activate data as it changes—so teams, systems, and AI can respond with greater speed and confidence.
In this session, you’ll learn:
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Why Kafka matters: Understand how event streaming helps modern enterprises move data faster across systems and workflows
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Real-time data in action: Learn how streaming supports timely updates, connected operations, and more responsive experiences
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Better data for better outcomes: See why trusted, unified data is critical when Kafka powers downstream applications and AI
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Architectural considerations: Explore key design principles for building scalable, resilient streaming workflows
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Practical guidance: Get insights on how teams can think about Kafka as part of a modern data foundation
Whether you’re a data leader, architect, or product team member, this session will give you a clearer view of how Kafka can help your organization operate with more speed, agility, and context.
Let’s talk real-time data—done right.