In this lightning paced digital age where companies rise and fall in the blink of an eye, no one wants to get left behind by making the wrong decision. Decisions and thus strategies are now driven by data and the insights drawn from them, with instinct now taking a back seat for failing too many times. It is in this context that Machine Learning - and its ability via algorithms to process data, learn from the past and better predict the future even to high degrees of accuracy - has risen to such significant prominence as the Sultan of Strategy for many companies. In the US, the presence of the job title Machine Learning Engineer on Indeed in the US rose by a staggering 344% between 2015-2018, and 29% alone between May 2018 – May 2019; showing the importance companies are placing on these skills to help them understand their data, predict outcomes and react accordingly to succeed. It is with this demand for Machine Learning expertise that Tim Heathcote, Director of Contract Business for Morgan Philips Germany & Austria, spoke to Dr. Alexandra Kirsch, Artificial Intelligence, Exploration und Prototyping Expert at Intuity Media Lab Gmbh.