Learn about data science improving incentive programs, AI changing customer service, and machine learning discovering and creating new materials.
- By Lindsay Stares
- March 2, 2017
The increasing importance of deep learning could bring about another skills shortage as the desire for practitioners outpaces supply.
- By Brian J. Dooley
- February 24, 2017
Deep learning is an increasingly important part of the AI toolkit, yet it is often misunderstood.
- By Brian J. Dooley
- February 23, 2017
Statistical models and machine learning algorithms are often mysterious and confusing for average business and data professionals. However, even the most math-adverse can reach some understanding.
- By William McKnight
- February 22, 2017
Data initiatives that increase government transparency, Google experiments with competitive AIs, and the difference between a data scientist and a data analyst.
- By Lindsay Stares
- February 21, 2017
At the 2017 World Economic Forum meeting, tech industry leaders openly discussed some of the ethical and societal challenges facing the current surge in big data-driven AI.
- By Barry Devlin
- February 17, 2017
With the increasing demand for data science professionals, what skills are necessary to succeed in our new digital world?
- By Devavrat Shah
- February 14, 2017
Infrastructure speed has reached a plateau. Today's enterprises should be seeking out predictive, automated solutions to improve their enterprise infrastructure.
- By Rod Bagg
- February 9, 2017