Real time Streaming Processing in the Age of AI and Analytics | Real-time Data Summit 2024

Learn about real-time event streaming use cases, Redpanda's AI and analytics focus, and the issues with traditional event processing systems. Try Aerospike Cloud for free: https://auth.control.aerospike.cloud/...

Discover how stream processing, real-time data, and AI/analytics are converging to transform modern data infrastructure. In this Real-Time Data Summit 2024 session, Brian Schwarz, VP of Products at Redpanda, discusses the power of real-time event streaming and how Redpanda is helping organizations simplify, scale, and modernize their data pipelines.

🔍 What you'll learn:

What event streaming is and how it works in real-world use cases like fraud detection, retail transactions, and log aggregation

Why Redpanda offers a powerful alternative to Kafka with lower latency, simpler deployment, and higher performance

How event streaming integrates with AI/ML inference, data lakes, analytics, and training pipelines

Why cloud-native design, object storage, and BYOC (Bring Your Own Cloud) models are shaping the future of SaaS

How Redpanda uses technologies like WebAssembly for in-flight data transformation and Apache Iceberg for open data formats

🏢 Customer Use Cases:
Learn how companies like Jump Trading, Fortis Games, The Hotels Network, ShareChat, Lacework, and Alpaca use Redpanda for ultra-fast event streaming, cost-effective scaling, and mission-critical data processing.

🚀 Redpanda Highlights:

Kafka API compatibility with a single-binary architecture

Built in C++ for performance and efficiency

220+ high-performance connectors via Benthos

Native support for tiered cloud storage

Seamless integration with modern DevOps workflows

Whether you're in finance, gaming, retail, security, or social media, this session is packed with insights on how to architect reliable, low-latency systems that scale with real customer examples and practical advice.

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