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
According to TDWI research, the gender gap in BI-related fields widened in 2016. There are many reasons why women are earning less than men in these jobs.
- By Fern Halper
- 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
Data lakes have been widely misunderstood, but they are now benefiting from new best practices -- helping organizations gain significant value.
- By Dale Kim
- February 16, 2017
How marketing might miss the point of big data, why you need to check your customer data collection policies, and how to improve cybersecurity with a change of tactics.
- By Lindsay Stares
- February 16, 2017