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
More MBA programs offering data science classes, what to watch for in cloud computing contracts, and forecasts for the future of data management.
- By Lindsay Stares
- February 23, 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
The unbreakable rules for charts, the growing influence of data journalism, and a short video on how data visualizations connect to our lives.
- By Lindsay Stares
- February 22, 2017
Almost three-quarters of users count on mobile access to BI insights, according to a new survey. Supported by improved technology and users' desire for more data access, mobile BI is growing in a big way.
- By Lindsay Stares
- February 21, 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