Tools from maps to drones respond to crises with increasing speed and accuracy.
Transform your basemaps using CARTO and PostGIS.
Performing business analytics on the data lake using next-gen open source tools.
Python and R are widely accepted as logical languages for data science—but what about Go?
Apache Arrow makes it possible to use multiple languages and heterogeneous data infrastructure.
An analytics database can offer performance and scalability advantages.
Word embedding in natural language processing.
Early methods to integrate machine learning using Naive Bayes and custom sinks.
In two online sessions October 18-19, 2016, Jesse Anderson will show you how to recognize opportunities, avoid problems, and get the most value from your data.