Two early “intelligent systems” include smartphones and self-driving cars. We’ve all experienced the ways in which smartphones and their apps can simplify our lives. And of course, this is just the beginning.
Teaching Students About the Latest Disruptive Technologies
The current crop attending business school now or in the next decade will be coming of age as smart machines and machine learning hit their stride, transforming the world of work and leisure forever. It will be up to these business leaders to decide how to make the best use of this new technology. Business schools have long taught students about morals and ethical standards, and soon business leaders will be grappling with the most serious questions ever faced by the business community. The big question is: “will machines serve humanity or will they serve a privileged few?” In short, there will be a critical role for all humans to play.
Technology Standards Will Soon Emerge
One of the current hurdles to a more widespread adoption of the Industrial Internet of Things (IIoT) is the need for standards, but standards will take time to emerge. Smart machines certainly show great promise, but they are also expensive, a large capital investment for any company.
According to smart machine and automation experts, smart machines are rapidly becoming more intelligent. Given this trend, some, like Elon Musk, see the possibility of an emerging technological feudalism where smart machines do everything of importance, run by a handful of people, and control humanity by taking their jobs.
Positive & Negative Sides of Machine Learning
What has made smart machines and machine learning possible is the emergence of digitization that has finally made its way from the factory floor to nearly every industry, and how these technologies are developed and used will be a question for all of us.
Where smart machines and machine learning part ways with “brute force” automation is there is no programming involved. Smart machines and machine learning technology allow machines to be self-learning and self-guided. And the pace of this type of learning, for machines, is extremely fast.
The following video shows some agricultural smart machines that are transforming farming, allowing huge farms to be run by a couple of brothers “playing video games” to get their farming chores done on huge farms.
