Aggregation techniques provide a means to summarise complex, high-dimensional datasets into reduced representations that retain essential information. In multidimensional contexts, data points often ...

The typical all-source intelligence analyst must generate products that result from the fusion and correlation of structured and unstructured text reporting with sensor and imagery data sources. This ...

The power of Python trumps Excel workbooks.

On this second episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk, managing principal and global head of Ropes & Gray’s advanced ...

Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. In the age of data-driven decision-making, the significance of ...

Welcome to Multidimensional Data Reversion, a four-part podcast series from Ropes & Gray’s Insights Lab where data analysis intersects with the law. On this first episode, join Shannon Capone Kirk, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

In his 2005 book, The World is Flat: A Brief History of the Twenty-First Century, Thomas Friedman talked about globalization and a level playing field. Globalization, fading geographical boundaries ...