The transition from descriptive to predictive & prescriptive analytics is speeding up across digitally native industries, while more traditional industries are lagging behind. This transition often requires usage of machine learning techniques and a variety of data formats. Many companies find it difficult to complete. In this webinar, we review barriers for implementation, best practices, interesting use cases and success stories coming from steel and oil industries. Also, we will show how IoT data can be used to predict health problems of cows at farms. Moooving to cutting-edge analytics is possible for everyone!