Computers are certainly nothing new; the abacus was a mechanical adding machine, after all, and Charles Babbage conceived his wonderfully mechanical analytical engine in 1837. General-purpose electronic computers have been available for more than 60 years, having gone from large to small mainframe, to minicomputer, to personal computer, and mobile device, with increasing connectivity all along the way. A general-purpose computer without Internet access is now a rarity.
Today, we’re not engaging with just one network anymore. We interact with multiple networks as we go about our daily lives. We surf the web, wear connected devices and increasingly interact with physical objects in our world that have computing and networking technology built into them. This opens up opportunities never before possible that will change the nature of work, leisure, commerce and the infrastructure all around us.
So what is IoT, and why should you care about it? Because pervasive computing and networking enable insight that can broadly drive efficiency improvements as well as more effective responses to needs and threats. These IoT data-driven insights save time, money and lives.
What is IoT?
To start, a basic definition of IoT is as follows:
- The Internet of Things is a collection of connected devices and services that work together to do something useful.
We could get more technical, but at the end of the day, that’s exactly what it is. Let’s add another sentence to that definition:
- A good IoT product or service—a “smart, connected product”—is so effective that switching to something similar that is not connected will at best annoy the user and at worst may not even be feasible.
Now I’ll add three more points to this:
- A physical device is IoT-enabled if it takes advantage of low-cost sensors, low-cost computer chips and a wireless connection.
- Multiple IoT-enabled devices that are co-located can work together.
- Many IoT-enabled devices will take advantage of cloud services through Internet connections at those locations.
Smart, connected products with these capabilities can fundamentally transform the markets where they are offered. There are already thousands of existing examples of IoT-enabled devices in a wide range of competitive arenas, including consumer wearables, smart home, healthcare, building automation, energy management, manufacturing, chemical processing, insurance and more. Those aimed at the IoT in major industries, specifically, can increase productivity, reduce unplanned downtime and improve product differentiation.
Why Now?
A technology becomes ubiquitous only with the right combination of factors, and many never take off simply because it is too cost prohibitive relative to the value it enables. IoT is happening now because a number of contributing factors are available together for the first time:
Low-cost semiconductors and ubiquitous wireless
More than a billion smartphones are currently sold each year in a highly competitive market, with new designs introduced every 12-18 months. This continual growth and design evolution drives down component costs, especially for adjacent markets that can use older generation devices. It’s not just Moore’s law driving down the footprint and cost for semiconductors and computing capacity. Koomey’s law is there as well, steadily reducing the energy needed to produce that computing capacity. When also factoring in how ubiquitous wireless networking and IPV6 support have become, it’s clear that the infrastructure needed to provide “connected intelligence” about the world around us is readily available.
Manufacturers can now add small, embedded microcontrollers and wireless chips to just about any physical object at low incremental cost. This embedded computing and connectivity will eventually be as common as a power plug or a battery. In fact, several forecasts are expecting annual production of these smart, connected products to exceed eight billion units within five years.
Web-scale, open source cloud computing, big data and data science
Cloud technology is continuing to advance rapidly, and can arguably be more secure and cost effective than premise-based alternatives. It is now possible to quickly and efficiently gather, store and analyze massive amounts of unstructured data at web scale, and take action on the insights we develop from that analysis. We can distribute computing tasks horizontally, vertically and geographically, both centralized and close to a physical machine, process or any physical object, enabling virtually unlimited capacity and the ability to implement analytics algorithms where they will have the greatest positive impact. We can find insight across a population of anything of interest and then leverage that insight locally or remotely for each member of that group, in real-time, near real-time or historically as appropriate. The potential benefits from these capabilities are basically bounded only by our creativity.