The Internet of Things: Its the (sensor) data, stupid

Martin Willcox shares the lessons he's learned from successful Teradata IoT projects about about how to manage and leverage sensor data and explains why data management, data integration, and multigenre analytics are foundational to driving business value from IoT initiatives.

These days, everyone is talking about the Internet of Things (IoT); various commentators claim that it will be either humanity’s salvation or the end of privacy and security as we know it—or that it merely represents an overhyped rebranding of the Internet itself. Regardless of where you stand on any of these issues, three things are certain. The marginal costs of measurement—and of storing lots of measures—are falling. And that means more machine-generated data is coming your way. Lots more machine-generated data. As the truism has it, the future is already here—it’s just not evenly distributed. Teradata customers have already been leveraging sensor data for a decade or more for applications ranging from the prediction (and prevention) of train derailment events to condition-based maintenance in aerospace, via smarter collection of seismic data for more effective oil-field management. If even half the forecasts are halfway accurate, this is only the beginning of a trend much bigger than big data, as more and more products and services are instrumented with inexpensive sensors that will—indeed, are already—radically reshaping our lives, the companies that we work for and interact with, and the business landscape that those companies operate in. Martin Willcox shares the lessons he’s learned from successful Teradata IoT projects about about how to manage and leverage sensor data and explains why data management, data integration, and multigenre analytics are foundational to driving business value from IoT initiatives. This keynote is sponsored by Teradata.