Warren Reed explains how he and his team at the US Treasurys Office of Financial Research leverage data visualization techniques to build interactive data products for risk measurement and monitoring.

Not all data science problems are big data problems. Lots of small and medium product companies want to start their journey to become data driven. Nischal HP and Raghotham Sripadraj share their experience building data science platforms for various enterprises, with an emphasis on making the right architecture choices and using distributed and fault-tolerant tools.

Recently, the volume of data collected from farmers' fields via sensors, rovers, drones, in-cabin technologies, and other sources has forced Monsanto to rethink its geospatial processing capabilities. Naghman Waheed and Martin Mendez-Costabel explain how Monsanto built a scalable geospatial platform using cloud and open source technologies.

Seemingly harmless choices in visualization design and content selection can distort your data and lead to false conclusions. Aneesh Karve presents a quantitative framework for identifying and overcoming distortions by applying recent research in algebraic visualization.