How the design of new technology can be inspired by animals or insects, plus comparing tree cover using image analysis.
- By Lindsay Stares
- December 6, 2017
Knowing the differences between the two technologies is more than just a matter of semantics.
- By Stan Pugsley
- December 5, 2017
How to improve your data integration, train new skills for using big data, and ensure your dashboards are effective.
- By Lindsay Stares
- December 5, 2017
What leaders need to understand about building a data science program, embracing a shift in IT’s role, and preparing for next year.
- By Lindsay Stares
- November 30, 2017
Why there are few entry-level jobs in data science, how vendors say machine learning will cleanse data, and which statistical techniques are most important in data science.
- By Lindsay Stares
- November 21, 2017
A quick look at how five vendors have embedded machine learning, NLP, or other advanced analytics technologies into their platforms.
- By Fern Halper
- November 15, 2017
Codifying the definition of a data scientist, training data science skills in-house, and projecting the rise and fall of demand.
- By Lindsay Stares
- November 14, 2017
Are BI and self-service analytics headed inevitably toward more automation?
- By David Stodder
- November 10, 2017