Stephanie L. Woerner, Research Scientist at the MIT Sloan Center for Information Systems Research
From MIT SMR Custom Studio
Realizing value through the Internet of Things (IoT) may begin with simple goals, but it can also catapult a business toward new horizons. The level of commitment to completing the journey really depends on the presence of four factors:
- Translating Threats Into Opportunity.
A major driver in IoT initiatives is finding a new source of revenue in the face of changing industry trends. In CISR’s survey of 352 CIOs, respondents with the highest levels of IoT commitment generated 50% of their revenues from products introduced in the past three years. These CIOs see firsthand how quickly disruptive change can occur.
Consider Schindler Holdings AG, which manufactures, installs, and maintains escalators, elevators, and moving walkways. In this increasingly price-sensitive industry, maintenance accounts for 75% of operating profits. This prompted Schindler to use IoT to not only improve equipment maintenance through the data generated by its elevators but also to reposition itself as a service provider that helps customers with building management using this data. To move in this direction, it developed a Web-based customer portal and a mobile app to provide real-time insights.
Professor of Information Technology,
Director, The MIT Initiative on the Digital Economy
We’re in the early stages of a management revolution. The upheaval is based on our unprecedented ability to collect, measure and digitally record information about human and systems activities, particularly with the finely tuned data sets available through IoT. One of the hallmarks of this new era is the acceleration of data-driven decision making within businesses, which has tripled in just five years, according to a recent study I conducted with Kristina McElheren, a professor at University of Toronto.
Accompanying the progress anticipated in this increasingly digital age, however, will be thorny challenges and broader issues for society at large. This is particularly true as organizations begin to feed the large data sets available from IoT into systems that use machine-learning algorithms—at which point they will begin making predictions and decisions in an increasingly automated way, and at large scale.
Machine-learning and artificial intelligence (AI) technologies have advanced greatly in recent years; the implications range much further than the attention they get for winning competitions with “Go” champions and chess masters. The real significance of these technologies will be found in their ability to automate and augment complex decision making.
MIT Sloan Executive Director of Executive Education Peter Hirst
I recently attended the second annual Internet of Things World Forum in Chicago, IL. In the opening keynote presentation, Wim Elfrink, Cisco’s EVP of Industry Solutions and Chief Globalization Officer, referenced Gartner’s latest version of its“Hype Cycle,” noted that IoT (the Internet of Things) has climbed over the past year to its peak. Yet, on closer inspection, the enviable place IoT is enjoying within this technology-evolution framework is actually named the “peak of inflated expectations,” a precarious high point where individual dazzling success stories of early adopters and visionary speculation are outshining wider market reticence and slow early adoption. In the model, this magical time is usually followed by a “trough of disillusionment,” then — if the market responds favorably to second and third-generation tech — the “slope of enlightenment,” and finally — if wide market adoption takes place — a “plateau of productivity.”
The conference certainly provided many vivid illustrations of success and the potential of IoT, but will this fledgling industry make it through the inevitable coming trough, and climb “high and right” on the chart with predicted tens of billions of connected devices, as was enthusiastically espoused by Elfrink in his opening remarks?