When you combine connected devices, artificial intelligence and massive volumes of data captured – wonderful new possibilities, never before imagined, begin to emerge. Such is the case with “self-healing” machinery. Beyond predictive maintenance, multiple European academic institutions and manufacturers, including Ford, are exploring ways for the IoT systems to not only detect failure but to proactively “heal” before negative outcomes result.
It’s through these mind-stretching applications of the IoT that truly highlight the magnitude in which transformation is forthcoming. If a connected machine can become “self-aware” in the sense that it can understand good versus bad working modes, and identify risks in order to apply some level of self-healing, what happens to productivity? How does it effect labor?
According to an article in Forbes,
20M-40M jobs are in peril in the US from developments in AI and other technology — 15 to 30% of the US labor force. So if foreseeable technologies materialize, then then the need for human labor could decrease.
The time frame in which industries will actually reach self-healing machinery, at scale, is dependent on many factors including cost, adoption rate and available skill set to deliver and implement. However, the fact that the IoT technology exists and academic institutions and manufacturers are actively pursuing it, makes the dream much closer to an actual reality.