An Introduction to Internet of Things (IoT) Analytics
Gary Angel | Digital Mortar
IoT is exploding. 10 Billion devices. Nearly a trillion dollars in deployment spend. It’s huge already and growing insanely fast. And IoT is all about analytics – making it the hottest application area for new analytic practice. Of course, IoT analytics isn’t just one thing. Analytics for edge-based video is quite a different beast than analytics for moisture sensors embedded in the soil or heat sensors inside an engine. But there are common characteristics and in this session we’ll cover what’s common to most IoT analytics applications and what’s often unique and challenging.
The session will include a short introduction to IoT device data collection, an overview of some of the most common kinds of IoT generated data, and a deeper dive into how machine learning techniques can be used at multiple stages of the analytic process. You’ll get a taste of how IoT analytics works, some of the key failure points, and a sampling of analytic techniques for dealing with massive amounts of machine-generated real-world data.
Claravine is the leader in Digital Experience Data Management™, with leading brands globally using our software to enable effective campaign and content data governance. Claravine allows organizations to centralize their data structure and governs the process to generate, validate, and connect data, ensuring consistent standards and optimal experience delivery across the enterprise. As a result, companies have richer insights and increased ROI from their marketing and advertising investments.