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Renee Boucher Ferguson
What will happen to predictive analytics once everything is connected?
Research looks at how applying smart data to transportation ecosystems is launching new business models.
Nine bits of information to consider about the emerging Internet of Things.
February 18, 2015 | George Westerman and Didier Bonnet
Large companies in traditional industries might think that digital transformation can wait — that a follower strategy is a safer route than trying to be a pioneer. "That kind of thinking, while tempting, is wrong," write George Westerman and Didier Bonnet. "In every industry we studied, companies are doing exciting things with digital technology and getting impressive business benefits."
The Internet of Things is on the brink of transforming business, but most businesses aren’t ready for the changes to the marketplace that the IoT will bring. There is very little time for companies to prepare for the changes coming as data-collecting devices proliferate. The good news is that by recognizing certain challenges, organizations can begin the possible, albeit difficult, process of getting ready.
Although workers and consumers generate two-thirds of all new data, that’s about to change. Sensors and smart devices — from traffic lights and grocery store scanners to hospital equipment and industrial sensors — are beginning to generate an enormous wave of data that will increase the digital universe ten-fold by 2020. Guest blogger Randy Bean, CEO of NewVantage Partners, explains what this means for executives trying to adapt to a rapidly changing, data-centered business environment.
William Ruh (General Electric), interviewed by Michael Fitzgerald
GE global software chief William Ruh discusses the combined power of analytics and sensors.
Vince Campisi (General Electric), interviewed by Michael Fitzgerald
When it comes to big data, GE avoids warehousing and instead turns to the data lake approach.
Hugh Scandrett (EnerNOC), interviewed by Sam Ransbotham
Energy intelligence software company EnerNOC is helping companies save money and cut back on energy usage.
December 14, 2015 | Robert D. Austin and David M. Upton
Thanks to social media and an increasing flood of data, the capacity to generate causes and controversies almost instantly has become the new norm in today’s “super-transparent society.” Individuals and organizations produce a voluminous, mostly involuntary, “digital exhaust,” which reveals much more about them than they think it does. Most business leaders have not yet come to grips with the new reality — and what it means for their organizations.
Lynn Wu et al.
Organizations have made great progress with analytics using traditional data sources, but Internet of Things (IoT) will mean a new upsurge in data, and attendant challenges in absorbing and analyzing that data. In this webinar, analytics experts Lynn Wu, Sri Narasimhan, and Sam Ransbotham discussed the data and analytics opportunities presented by this phenomenon.
The Internet Revolution has so far not produced the kind of long-term productivity growth seen during the Industrial Revolution. Digital technology drove U.S. productivity growth above three percent annually only between 1996 and 2004. Since then, productivity has fallen to about 1.6 percent a year. General Electric argues that productivity growth will jump again as the industrial Internet emerges, connecting machines like turbines and jet engines to factories, and using analytics to make better decisions about maintenance and production.
March 10, 2015 | Benn Konsynski (Emory University), interviewed by Gerald C. Kane
The skill set for both companies and individuals of the future will be to embrace impermanence and continual reconfiguring, according to Benn Konsynski, a professor of information systems at Emory University. He says both organizations and employees need to prepare for the “the remix era” and “the certainty of unknown.” He sees “improvisation” as a personal and enterprise necessity in the 21st century.