Next Year in Machine Learning, Data Science, AI and BI

This free video, just published, at the very end of 2019, takes a look at the key trends that have shaped the year at the intersection of data science, business intelligence, machine learning, and advanced analytics. As is the current fashion, I--Rafal Lukawiecki--would also like to share a few predictions about the future of our industry, looking towards 2020 and slightly beyond. If you are interested in specifics of what is new and changing in the world of Microsoft machine learning technologies, notably the very new Azure ML, make sure to also watch the next video in this series (coming later today), Microsoft Machine Learning Technologies: View Towards 2020, which is available to subscribers. The first trend that I discuss which has characterised 2019 is the pervasive nature of the SQL language, which is still at the very top of all rankings of the tools used in our industry--even more popular than Python or R. This is no surprise, as it fulfils many roles, notably in data preparation, which accounts for majority of the cost and effort of every data science or AI project.