Tealium Edge Computing & Mobile Vision: On-Device ML for Customer Data

In this technical deep-dive, Tealium CTO Mike Anderson, Senior Software Engineering Manager Craig Rouse, and Senior Product Manager Dave Tawill explore the future of mobile and edge computing for customer data. The browser is no longer the only ""first mile"" for data collection. Today’s customer journey happens on mobile apps, connected devices, and in-store interactions where latency is measured in milliseconds. If you don't capture context at the source, it disappears. This session breaks down Tealium's vision for edge computing and how processing data closer to the user fundamentally changes enterprise architecture. Key Takeaways from this Session: The Shift to Mobile-First Data: Why the proliferation of mobile and connected devices requires a new approach to data collection architecture. On-Device Machine Learning (ML): How Tealium utilizes on-device ML frameworks to enable real-time, privacy-centric intelligence without requiring latency-heavy round-trips to the cloud. Capturing Context at the Edge: What it practically means to capture and act on customer moments the exact millisecond they happen. Topics Covered: Tealium CDP, Edge Computing, Mobile Data Collection, On-Device Machine Learning (ML), Low Latency Architecture, Customer Data Platforms, Enterprise Architecture, Mike Anderson."