When you lift your sieve out of the water, you pick up dirt, rocks and a whole bunch of stuff you do not need, but somewhere in there is your gold, otherwise known as your actionable engagement data. One of the goals of the industrial revolution was to have machines simulate physical tasks to produce outputs more efficiently.

Fast forward to the present. The purpose of artificial intelligence, also known as AI, is to simulate any mental task.

Machine learning is arguably one of the most important subsets of AI because it effects all other fields within AI. In any industry, you have a pattern or a model that you know to be true, you make a prediction, and then you update your model based on the result.

This represents the learning process of machine learning. The introduction of this technology into industries like music, online dating, online publications, video-sharing and sports is becoming vital to each organization’s competitive sustainability.

The more data you have, the better the accuracy of your machine learning algorithm. In the music industry access to information presents a big challenge, but once you have it, the question becomes, how can you use and manipulate it using machine learning?

Let us quickly recap why access to data is such a big challenge in the music industry. The picture about depicts the challenges around access to streaming data, otherwise known as ‘gold.’ Read more from forbes.com…

thumbnail courtesy of forbes.com