Machine Learning - What Today’s AI Can Do?
In a Facebook photo, when you tag a face, AI runs behind the scenes and identifies that face. Face tagging has become increasingly popular across a variety of applications that display pictures with human faces. Why only human faces? Several applications can detect objects like cats, dogs, bottles, cars, etc. On our roads, we have autonomous cars that track objects in real time. Travelers use Google Directions to learn the real-time traffic situation and follow the best route suggested by Google at that moment. This is another example of real-time object detection.
When we visit foreign countries, we typically use Google Translate, which is an online translator app on our mobile devices that allows us to communicate with locals speaking a language we don't understand.
AI is used in many parts of our lives, even without our awareness. Today’s AI is capable of performing extremely complex tasks with great accuracy and speed. Let us discuss an example of a complex task in order to gain a better understanding of what capabilities are expected in an AI application that you would be developing for your clients today.
We all use Google Directions during our daily commute or even for intercity travels. Google Directions offers the fastest route to our destination at any given time. We have observed that when we follow this path, Google is almost 100% correct in its suggestions and we save our valuable time.
Because there are multiple paths to your destination and the application has to judge the traffic situation in all these possible paths to provide you with travel time estimates for each such path, you can imagine the complexity involved in developing this type of application. In addition, Google Directions covers the entire globe, so a lot of AI and Machine Learning techniques are used in this application.
You can now understand why IT professionals with AI skills are in high demand due to the continuous demand for such applications.
We will learn how to develop AI programs in our next chapter.