The above is a hot topic, yet at the same time, for some, an excruciatingly confusing one. It isn't always a case of buzz words having precise meanings, and sometimes they may have an element of smudging in them – perhaps due to the overlap of the terms at play. Now, such is the case when it comes to Artificial Intelligence (AI), Machine Learning (ML), and of course, the seemingly newer one, Deep Learning, which ironically enough is not known as DL mostly, unlike its counterparts. Maybe, just maybe, it is too deep for it. People think AI, ML, and Deep Learning are separate entities, and they may be justified in feeling that way.

Since the last decade or so, the developments in information technology have been propelled by advancements in areas of Artificial intelligence and Machine learning. Recently, there is a healthy debate going on regarding potential advantages and disadvantages of same between two powerhouses -- Elon Musk of Tesla and Mark Zuckerberg. While the media is jumping on the bandwagon, it is important to understand some basic concepts of AI, ML and Deep Learning to get a better sense of What they do and How they can be useful. Refer to the picture below to get a better sense of co-relation between AI, ML and Deep Learning and how do Artificial Neural Networks work. How does Deep Learning work?

People around the world wish to talk to her or see her in real life. Sometimes listening to her interviews, her knowledge about various fields and her thought process as natural intelligence makes us forget that she is an Artificially Intelligent robotic machine; created by Hanson Robotics and an excellent example of AI, ML and Deep Learning. This robot is getting ready to revolutionize health care sector and the humanoid is already being used to help research autism and other diseases. Artificial Intelligence is ready to rule the world. Machines are becoming smarter day by day to help people.

The smarter interactions artificial intelligence makes possible are great for consumers and drive big wins for enterprise. Avaamo has developed deep domain models for a variety of key industries that will help your company optimize its core value with AI. Avaamo is deployed around the globe and can translate voice and text from one language to another. Working with Avaamo, insurance companies are assessing thousands of claims 24% faster.

If you are a data scientist, a machine learning engineer, an AI specialist, or however the heck you want to call yourself, chances are that at some point in your professional career you have encountered at least one manager that doesn't understand the differences between some of the concepts listed in the title. After all, why should he?! Chances are that you have struggled to explain those differences without having to employ technical jargon, and you have alienated your already confused manager by doing so. We, at Yuxi Global, have developed a nearly perfect solution for this kind of situation. As the Head of Data Analytics at Yuxi Global, I was tasked with the construction of a Prezi presentation to aid in explaining what "Data Science", "Artificial Intelligence", "Machine Learning" (ML) and "Deep Learning" (DL) mean to medium and upper management folks. The ultimate goal was to help them guide their strategic as well as commercial decisions about what services and kinds of solutions we want to develop for clients in these areas.