Data Streaming and AI in the Real World - Practical Examples

Explore how data streaming technology enables scalable AI solutions across enterprise environments through real-world case studies and practical implementations. Learn from Andrew Brooks, CEO of Contextual Software, Inc., as he demonstrates how StreamNative's data streaming capabilities power ROI-driving AI applications in field services, warehouse management, property management, and commercial services. Discover the critical role of event-driven architectures in orchestrating complex, multi-step AI workflows that process thousands of invoices monthly while extracting valuable insights beyond basic financial data. Examine specific AI architectures, including the tools and event management approaches used to achieve horizontal scaling and dynamic infrastructure adjustment. Understand how Pulsar enables seamless data flow across various AI models and tools, allowing organizations to handle spikes in data volume without compromising speed or reliability. Gain insights into the business value delivered through enhanced operational efficiency, accelerated payment cycles, and cost-saving opportunities identified through intelligent automation. Review lessons learned from in-production AI success stories that demonstrate how abstracting messaging infrastructure complexity allows teams to focus on strategic goals rather than technical implementation details. Master the principles of building fully managed AI platforms that integrate design, build, and operation stages for complex, multi-model applications that drive measurable business outcomes.