Tech talk

You have a data lake and you’re worried about drowning in it. This talk will address solutions and process for using what data you’ve collected effectively with your team and the rest of the organization. Practical and hands-on lessons covering the glamorous and not-so-glamorous next steps. You’ve collected a ton of data and it’s just sitting there. You want to use it but where do you start? This talk will give you map so you can navigate your unique situation by asking and answering questions such as: What kind of data do you have and why does it matter? What things will come back to bite you if you don’t consider them up-front? What does collaboration that rocks look like? What problems will you run into and what strategies are useful for troubleshooting them? How do you choose what to do first? Why is interdisciplinarity important? Once it works, how do you automate it

Microsoft R Server 9.1.0, Microsoft's R distribution with added big-data, in-database, and integration capabilities, is released in April 2017 and is available for download. The release has several exciting features, including new machine-learning capabilities to support text and image processing and improved operationalization. The update includes new functionality to MicrosoftML. This package provides state-of-the-art, fast and scalable machine learning algorithms for common data science tasks including featurization, classification and regression. Some of the new functions include: Added support for most MRS platforms including Spark, , and Linux Out of the box image featurization with several deep neural pre-trained models Easy to use sentiment analysis functionality Support for Ensembling and parallel learning Improved operationalization on web and SQL