Machine learning is everywhere: across industries and affecting many aspects of daily living.
You may not realize it, but you probably come across machine learning just about everywhere—in retail, health care, public transportation and more—and it’s only going to increase in ways that we can’t even imagine.
While you probably had conversations with chatbots on websites or calls with customer service—there are many other types of machine learning applications that are silently working behind the scenes, including those that help organizations predict patterns and behaviors.
These apps are able to sift through huge amounts of data and make sense of it—once they have been “taught” what to look for. This has created demand for data scientists to build algorithms that can find patterns to predict outcomes and behaviors.
Now, with automated platforms, such as Microsoft Azure or Amazon Web Services (AWS) and machine learning libraries, it is easier and faster than ever for data scientists to develop these algorithmic models. And that not only means that you’ll get quicker customer service, but that you’ll also benefit from better, higher quality goods and services.
I’m seeing new applications for machine learning springing up in a variety of industries, and the possibilities are nearly endless. Here are a few examples of apps that are currently in use as well as some that will be available in the near future:
Whether it’s being used today to recognize images or identify patterns from massive volumes of data, the ability of machine learning to predict behaviors and outcomes is having a major impact on many industries and touching many areas of daily life—impacting your safety, health, buying patterns, and the way you work. But it still is such a young field, offering greenfield possibilities that are only now being imagined. Stay tuned. The best is likely yet to come.
Gartner has positioned Vodafone as a "Leader" in its Magic Quadrant for Managed M2M Services, Worldwide report 2017, for the fourth consecutive year