Enhance your reports with predictive models for better forecasting and decision-making

Users of modern BI systems not only want to analyze the past, but also obtain information about the future. Whether it's risk assessment for future customer churn or more accurate demand forecasts, the need to anticipate future events has become bigger than ever. Thanks to No Code software and automated machine learning (Auto ML) techniques, it has never been easier to incorporate AI to take your BI to the next level of predictive analytics.

Join expert Tobias Zwingmann to gain a solid understanding of how predictive models work and to learn how to build these models yourself. You'll use Azure Machine Learning Studio's no-code tools and get step-by-step guidance on how to integrate them into your BI software using Power BI as an example. In just a few hours, you'll be able to create the first versions of an AI-powered BI use case without the help of software engineers or data scientists.