Deep learning, machine learning, artificial intelligence – all buzzwords and representative of the future of analytics. In this post we will explain what is machine learning and deep learning at a high level with some real world examples. The goal of this is not to turn you into a data scientist, but to give you a better understanding of what you can do with machine learning. Machine learning is becoming more accessible to developers, and Data scientists work with domain experts, architects, developers and data engineers, so it is important for everyone to have a better understanding of the possibilities. Every piece of information that your business generates has potential to add value. This post is meant to provoke a review of your own data to identify new opportunities.