In order to use advanced analytics insights, we must identify and control for our biases. In all likelihood, we're going to be surprised by what we find.
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