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Does machine learning sound more like science fiction than something you’d interact with on a daily basis?
While this may have been true 30 or 40 years ago, today, technology is advancing to make machine learning just as normal as texting.
Even if you don’t realize it, you’ve interacted with this technology recently. Whether it’s in the past week or even the last 24 hours, artificial intelligence, or AI, is more common than you might believe.
1. Your Plane’s On Autopilot
Sure, you’ve heard about pilots using autopilot once the plane has taken off, but how does it work? Did you know that pilots of Boeing 777s said they typically only pilot the planes manually for seven minutes? Autopilot is an early example of artificial intelligence at work. By using deep learning AI, planes are able to mimic the manual behavior of pilots and stay on course without needing someone to be at the controls 24/7.
Don’t worry, though. A pilot is always ready to take over should the plane encounter issues with the computer system or experience an emergency situation.
2. Less Spam Please
While some email providers could use a better spam filter, machine learning is to thank when those annoying spam messages don’t make it to your inbox. Every time spammers try to change up their techniques, it’s only a short adjustment period as AI technology learns the new patterns and starts blocking the messages. Of course, the technology isn’t perfect. This is why it needs your help to learn what types of messages you consider spam and which ones need to stay in your inbox.
3. Virtual Assistants
How often do you talk to Alexa, Siri or Google Now? These assistants are present in smart speakers, phones and other gadgets that you may use on a daily basis. Have you noticed how these assistants seem to get to know you the more you use them? Not only that, but they can also differentiate between voices, customizing the experience for each user.
It’s easy to take all of that for granted, but machine learning is hard at work. The more you interact, the more data they collect to learn more about what you want and need from them. This creates that personalized experience that everyone loves.
4. Enjoying Social Media
None of the above apply to you? You’re still not avoiding machine learning or artificial intelligence. If you interact on social media, AI is a part of your daily life. Each time you get a friend recommendation or your newsfeed changes to show you more posts when you interact with someone, this is machine learning at work.
When you upload a photo of you and your friends, deep learning technology is being used to analyze the photo and compare it to your friends to automatically tag it. To you, it just seems like a great experience where you sit back and enjoy. However, technology is working hard in the background to personalize social media for you.
5. Ridesharing Services
Have you ever used Uber or Lyft? If so, you’re experiencing the wonder of machine learning. Deep learning technology is used to estimate ride times, where the driver should wait for you, pick up times and much more. By studying patterns in human behavior and traffic, ridesharing apps like Uber improve their service continuously by making the service more user-friendly. So, when your Uber arrives perfectly on time and picks you up the perfect location, thank AI.
6. Product Recommendations
Major brands like Amazon and Netflix have so many options to choose from that it would be impossible to just browse through everything on your own. Thankfully, you have product recommendations, or TV and movie recommendations in the case of Netflix.
Of course, these aren’t the only brands or services with personalized recommendations. But how do they do it? They learn by machine learning. A combination of big data and deep learning allow companies to learn from your browsing and buying behavior. The more you use the service, the more it learns about you. While it may sound creepy, it’s actually just a way of saving you time and helping you find exactly what you need.
And yes, the same type of technology works with all those personalized ads you see while browsing online.
7. Aiding In Banking
Financial institutions have eagerly embraced machine learning. By using big data, it’s easier to suggest the right services for your needs. Through AI, it’s easier to detect fraud to protect not just customers, but the financial institution. Many of the services you depend on, such as mobile banking and even applying for credit, use machine learning.
Machine learning has changed how all of us interact with the world and each other. In the coming years, look for AI to advance even more and become a more integral part of your daily life.