Write about a new decade that just has begun? (in light of recent developments and the year gone by)
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We’re passing from one decade to another with surprisingly little fanfare. (It only recently hit me that one day we’ll be referring back to the coming decade by saying things like, “It was back in the '20s,” the way my grandmother talked about her childhood.) Nonetheless, it’s worth marking the change; you don’t see all that many changes of decade even in a long human life. I want to mark this one by pointing out three trends from the 2010s that weren’t exactly overlooked at the time but that I think will be much bigger in the next decade.
The last decade saw the rise of predictive maintenance: the ability to anticipate failure and better plan for maintenance operations thanks to machine learning. However, 2020 should be a symbolic year as solutions are becoming much more accessible. For instance, engineers can acquire development boards and start writing companion apps in a few minutes without worrying about cloud security, server farms, or computational throughput. Industrial actors are no longer simply thinking about predictive maintenance but actively implementing it.
During the last decade, machine learning required massive servers, complex models, teams of extremely rare experts, and excessive amounts of time and resources. Now, machine learning can fit inside a motion sensor, and we can expect a lot more intelligence at the edge. It will never replace what we can achieve with cloud computing, but it will rapidly complement it. By implementing decision-making systems inside sensors, engineers can optimize resources, save a lot of energy, and time.
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