Discover How AI is Being Used in the Real World
Artificial intelligence is one of those concepts that is very Hollywood-friendly. It’s easy for most consumers to feel that they have a good understanding of it when they see it implemented in the movies. For example, if you watch the Terminator series, you can see how artificial intelligence works. You can also get a good insight into robotics as well as simple logic and plot reasoning. Still, artificial intelligence is an extensive area, and, in many cases, the Hollywood portrayal doesn’t do it justice.
It’s easy to get the impression that AI is a pre-existing knowledge or body of experience with its plan or prerogatives imposed on humanity. On the other end, it is very enticing to look at AI as a kind of one-size-fits-all solution that can produce the right kind of outcome regardless of where we find ourselves. Neither of these depictions is entirely accurate. That is why it’s a good idea to see how artificial intelligence is represented in five different contexts. The implementation examples, while not as sexy as Hollywood depictions, are still mind-blowing.
Automotive industry AI
Manufacturers in the car industry in the United States have been investing in artificial intelligence for quite some time now. The holy grail of automotive AI is to make completely autonomous or self-driving cars. Tesla was one of the first car companies to develop an independent car line that is purely powered and guided by artificial intelligence.
Tesla chose to be the guinea pig for the industry, and it has paid off thanks to the tremendous amount of consumer interest as well as immense media coverage. Other carmakers like Audi, Cadillac, and Volvo have piled on. While they didn’t go as far as Tesla is providing fully AI-powered or fully autonomous vehicles, they’ve gone halfway.
Audi, Cadillac, and Volvo have semi-autonomous models in their product line. The idea behind this is not to let your car drive itself but to use the onboard compute to minimize the possibility of accidents and increase safety. Of course, this can only work if the human operator doesn’t override the AI. Also, the AI is only as good as the information it picks up in the outside area around your car.
Environmental implementations of AI
Artificial intelligence is also being employed to collect a lot of data and get sampling information to solve environmental problems. For example, water scarcity and uneven water distribution in a particular area can take many years if done by hand. Thanks to AI, this data collection process has been largely reduced.
The same applies when acquiring data from pollution as well as climate change. In terms of actually helping the environment through physical and mechanical means, there are floating garbage trucks that collect plastics that accumulate on ocean surfaces. These go a long way in saving marine life. The good news is that there are no human beings on those floating vessels. They operate on full autopilot.
Medical AI examples
A lot of artificial intelligence has been applied to the healthcare field. It impacts how medical information is processed, but physical therapy, as well as health and fitness, has been revolutionized by AI-powered devices. Another exciting area in medicine involves natural language processing. As you know, doctors prescribe a lot of medications. They also prescribe charts, and the problem is that these materials have to be transcribed. The moment you have another human being reproduce something that has been said by another human, there are going to be errors. Plus, it can be an expensive proposition. Artificial intelligence that listens to the human voice and breaks down those sound signals into clear and correct text is now possible.
The medical transcription industry in places like India and the Philippines face a lot of pressure in the future because the artificial intelligence transcription systems specifically designed for medical transcriptions have leveled up quite a bit thanks to artificial intelligence and machine learning
Entertainment artificial intelligence
The most common example of artificial intelligence in the entertainment field involves your Netflix subscription. Have you ever noticed that Netflix seems to read your mind? Does it appear to you that they know what kind of movie to recommend? When you click a suggested video, are you likely to be impressed by that feature?
If any of this makes sense to you, welcome to the world of artificial intelligence. None of those suggestions happened at random. Netflix uses an algorithm powered by artificial intelligence to recommend videos. This way, people can keep consuming content and thereby preserve their subscription. It is all intended to make your Netflix viewing experience as smooth and seamless as possible.
Another example of artificial intelligence that is readily apparent, of course, is computer-generated imagery or CGI. Look at the latest Avengers movie and compare it with superhero movies from 20 years ago. There is no comparison. You would be dumbfounded when you look at the most recent Star Wars films and match them with the original animation. You should be. Why? Now, everything uses artificial intelligence. So, the lighting is just right and looks natural, as well as the simulated images of actors.
Back in the day, all that movie magic was made possible by stop-motion photography. In other words, animators would use models and then take a shot, move it a bit, and take another chance. Not only would it take forever, but there are also breaks in the animation sequence that make it look unreal.
Artificial intelligence in communications
The next time you get in touch with your bank through a messaging device using text, think twice. I’m not saying that you should not go ahead with it, but you should consider whether you are communicating with a human being. For the longest time, the United States has been outsourcing a lot of its customer service labor to places like India and the Philippines as well as other countries with large populations of people who speak English as a second language.
That trend is beginning to wane because artificial intelligence-powered chatbots that speak English with no accent and seem to know what you’re talking about are quickly taking over the industry. While some chatbot programs out there are still clunky and can produce very frustrating customer support experiences. The trade is rapidly moving towards a seamless occurrence. The problem with traditional chatbots is that it is very menu driven. It’s as if your whole engagement with them is on rails.
If you go off track or say something that the chatbot doesn’t have an answer for, it all breaks down. Now artificial intelligence chatbots using machine learning, acquire information from millions of previous customer interactions. They detect what exactly you’re asking about and quickly filter the different answers available. They go through the various ways it can phrase that data, so you are more likely to understand it.
It’s mind-blowing. It’s possible that in just a few more years, you don’t need to talk to a human customer or tech support person. Ultimately, all the collective knowledge produced from real interactions with customers will then be reduced to a database. This system can then be tapped by chatbots that can assume a variety of accents, appearances, or personalities to spit out the information you can use right then and there.