His role is to guide and lead organisations through data platform transformation and cloud adoption programmes. Analytics technologies have traditionally told users what had happened in the past using the data captured in transactional systems. Then, predictive analytics and machine learning began giving users forecasts for the future based on what happened in the past. Now these previously separate application and analytics worlds can merge time. Application developers can hook into the power of data science by using Azure Machine Learning model APIs. They can begin creating application platforms that learn from their past behaviour.