Don’t let the first few seconds of him talking Swedish scare you off, he switches to English for the remainder of this insightful talk.
Max Tegmark is a Professor doing physics and AI research at MIT, and advocates for positive use of technology. He is the author of over 200 publications as well as the New York Times bestsellers “Life 3.0: Being Human in the Age of Artificial Intelligence” and “Our Mathematical Universe: My Quest for the Ultimate Nature of Reality”.

Just when you thought Azure Databricks couldn’t get any better, watch this video where Yatharth Gupta, Principal Program Manager for Azure Databricks, talks about the newly introduced integration with R Studio.

For data scientists looking at scaling out R-based computing to big data, Azure Databricks provides the best way scale out their R models with Spark, that is easy to setup and integrates with the most popular R tools and frameworks. Data scientists can use Azure Databricks and R Studio to easily create analytics models, quickly access and prepare high quality data sets, and automatically run R workloads at unprecedented scale.

In this video, Katherine Kampf, PM on Azure Big Data team, talks about the newly introduced ML Services in Azure HDInsight.

ML Services bridges these Microsoft innovations and contributions coming from the open-source community (R, Python, and AI toolkits) all on top of a single enterprise-grade platform. Any R or Python open-source machine learning package can work side by side with any proprietary innovation from Microsoft.

ML Services includes highly scalable, distributed set of algorithms such as RevoscaleRrevoscalepy, and microsoftML that can work on data sizes larger than the size of physical memory, and run on a wide variety of platforms in a distributed manner.