The landscape of AI and ML technologies provided today by Microsoft is getting bigger and bigger and more complex every day. Azure Machine Learning, Azure Databricks, ML.NET, Cognitive Services, SQL Server, Power BI – to name just a few – are all options when it comes to developing and/or integrating intelligence into modern applications. With many capabilities overlapping in features it becomes increasingly difficult to decide which technology or set of technologies is best suited for a solution, product, or scenario. Understanding in depth Microsoft’s galaxy of AI and ML offerings is not easy, to say the least. The problem becomes even more complex when solution architects and developers are facing the difficult problem of bridging the two worlds – classical software development and data science. Join Ciprian Jichici in this session to explore the fascinating world of AI and ML technologies provided today by Microsoft, from the point of view of the .NET developer. We’ll talk about the existing divide between classical software development and data science and we’ll explore available solutions for closing the gap to help you with the first steps in the fabulous world of data science.