Last week, at an event on AI, I asked the panel about how investors evaluate the Data readiness of AI start-ups. This subject is close to my work and my teaching. I teach...
Summary: DataOps is a series of principles and practices that promises to bring together the conflicting goals of the different data tribes in the organization, data sc...
The profusion of big data alongside helpful nudges from Wall Street has inspired many companies to create Chief Data Officer(CDO) and Chief Data Scientist(CDS) roles. The...
For many, mathematical modeling is exclusively about algebraic models, based on one form or another of regression or on differential equation modeling in the case of dyna...
(Photo credit: Rob Lavinsky, iRocks.com – CC-BY-SA-3.0) In 1945, Count ,Richard Taaffe* a Dublin gem collector, was sorting through a set of spinel gems that he had...
Is big data just for the big players? Many SME owners shy away from taking advantage of big data in their business operations. However, commentators (including experts at...
These videos display data sets with a time dimension: each frame in the video shows the data set at a given time, thus showing how the data evolved over time. To learn ab...
Many companies have solved the challenge of how to capture, store and manage data. The new challenge is keeping up with the rapidly growing data volume, then sifting thro...
Originally posted onData Science Central Do you want to learn the history of data visualization? Or do you want to learn how to create more engaging visualizations and se...
Many companies around the world face a number of challenges when it comes to the operations of their business. For example, transportation and logistics companies combat ...