How does real-time behavioral data supercharge AI and LLM-powered experiences? In this clip, John Piekos, SVP of Engineering at Snowplow, explains how streaming event data enables the next generation of agentic systems, personalized AI, and context-aware recommendations.
Key topics covered:
- Agentic AI systems – beyond chatbots, toward collaborative, intelligent agents
- Real-time behavioral data – enabling hyper-personalized interactions in the moment
- Personal AI shoppers – tailored suggestions based on what you're browsing right now
- LLMs powered by live context – making generative AI truly relevant and responsive
- The future of digital experiences – shifting from static journeys to adaptive, data-driven ones
Snowplow makes this possible by streaming fresh, first-party event data directly into the hands of AI systems—ensuring every model, prompt, or recommendation is based on the latest user behavior, not stale data from hours ago.
💡 Want to build AI that actually knows your users in real time? It starts with Snowplow.
Curious to hear more? Watch John's full session here: https://snowplow.io/events/real-time-data-when-does-speed-matter-most
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