Whether you cannot live without the Internet, whether you use it on a regular, but rational basis or whether you limit yourself to googling a thing or two once a month, there is no chance you have not been bombarded with buzzwords like Artificial Intelligence or Machine Learning. While the first one is rather an old term and is easy to understand, the second one may cause a possible headache. Luckily, there is a way to prevent it from happening and this article is the solution.
Although many use these two terms interchangeably, experts may argue that they do have real differences. The very first distinction is the fact that Artificial Intelligence (AI) is older and Machine Learning (ML) is often considered as AI's subset. To go further, AI is said to be a branch of computer science building machines capable of thinking the way humans do, while ML is a branch making machines act without being programmed to do so. The two things, however, cannot function without each other as you need AI to build smart machines, but you also need machine learning to make them actually intelligent.
Every Monday morning more than 75 million of Spotify users receive a Discover Weekly playlist that may often feel like a perfect gift from your best friend. The reason the playlists are so good is Spotify bases them on algorithms ruled by machine learning. Not only is it a matter of recommending you song B if you have listened to song A and song C more than a thousand times, it is also a matter of ignoring you playing Minions soundtrack to your child while the genre you listen to most of the time is thrash metal. Thanks to ML you don't have to fear seeing Barbie World among Metallica or Pantera's songs.
Google is doing its best to make people like it and that is probably why they provide you with an excellent set of experiments making it easy to understand the power of AI and ML. While most of the experiments are real fun (if you haven't played Quick, Draw! yet, do it now), the main idea is to defeat your human brain. In March 2016 Google's AlphaGo has beaten the world's Go champion Lee Sedol 4:1.
If you always wanted to feel a part of CSI: NY, you now can. Google has recently created a machine learning software that zooms into a photo without losing its quality. The important part is it is not just a photo editor, RAISR (which is short for Rapid and Accurate Image Super-Resolution it gets better with every photo it zooms into. We can all be detectives now.
Recruiting with HiringSolved
A computer being responsible for your life is probably the most controversial topic of 2016, but the research says machines are already better at picking up candidates than human recruiters. HiringSolved takes is one step further with its RAI, "the first artificial intelligence assistant for recruiting", which does not interview people, it finds them. Imagine you can type "software developer" and Google does not tell you what that person does, it gives you a list of candidates instead. Doing so, HiringSolved is not only able to help recruiters save a lot of time, but also reach better potential employees.
Being closer to customers
It is all about customers nowadays. The product you sell does not matter anymore, what matters is how and to whom you sell it. Trying to know your customers, being closer to them than ever can help you win business, but in order to do so, you need machine learning. Machines can now monitor their visits, analyse their reactions and choose advertisements that suit them best. More and more businesses are using ML to show their customers they care -- and so should you.
As the definition says, machines learn from their previous actions and the most important part is they never stop. ML is going to get more and more clever, making both your life and your business easier whether you like it or not. However, what you should never forget is that every machine, every tool can be harmful when used unwisely.