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.
Martin Willcox leads Teradata’s International Big Data CoE, a team of data scientists and technology and architecture consultants charged with helping customers realize value from their analytic data assets and articulating Teradata’s big data strategy, as well as the nature, value, and differentiation of Teradata’s technology and solution offerings, to prospective customers, analysts, and media organizations across the international region. Martin has 19 years of experience in the IT industry and has worked for five organizations, including two major grocery retailers. Since joining Teradata, Martin has worked in solution architecture, enterprise architecture, demand generation, technology marketing, and management roles. As a former Teradata customer—Martin was the data warehouse manager at Co-operative Retail (UK) and later the senior data architect at Co-operative Group—Martin understands the analytics landscape and marketplace from the twin perspectives of an end-user organization and a technology vendor.
Martin is an infrequent contributor to the Teradata International and Forbes Teradata Voice blogs. He holds a BSc (with honors) in physics and astronomy from the University of Sheffield and a postgraduate certificate in computing for commerce and industry from the Open University. He is married with three children and is a lapsed supporter of Sheffield Wednesday Football Club. In his spare time, Martin enjoys playing with technologies like Teradata Aster, Python, and R, flying gliders, listening to guitar music, and watching his sons play rugby and rock climb.
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