In the past week, how many devices have you used that were connected to the Internet or relied on an algorithm to accomplish a task? Likely, the number is upward of 10 to 15, and most of those devices are used daily, if not hourly. Examples may include a Fit-Bit, cell phone, personal computer, work computer, home monitoring system, car, Internet television, printer, scanner, maps, and, if you are really tech savvy, maybe your coffee pot or refrigerator.
The Internet of Things (IoT) is bound by a mesh network that is increasingly connected to every part of our lives, and those devices are becoming increasingly reliant on each other to perform their functions.1 Computing devices, using advanced algorithms, are entering the machine-learning phase, a subset of computer science in which the computer is “learning” about the environment and presenting predictions based on available data and conditions.2 Trends include machine-autonomy and self-learning. The idea of interconnectivity is not only about the IoT but also the information that transits the Internet, and how it influences our daily decisions. The trend toward a worldwide mesh-network is nearing, and with the creation of an information technology (IT)-based domain comes increased understanding of the environment in which we live. There appears to be no deviation from Moore’s law, developed in 1965, and popularized and demonstrated since its inception. If Moore’s law continues to be upheld in the future, more apps, algorithms, and daily functions will link together each part of our lives, providing increased processing capability and a limitless stream of information creating maximum efficiency for humans.