Read about increasing security concerns with both consumer and industrial IoT devices and why you should consider a semantic layer with your data lake.
- By Lindsay Stares
- March 30, 2017
A recent report from IDC makes some bold predictions about analytics, cognitive computing, and artificial intelligence.
Financial services can benefit from the many competitive use cases enabled by artificial intelligence and machine learning, but adoption has been slow.
- By Brian J. Dooley
- March 13, 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 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
Data science today is extremely labor-intensive. The automated or quasi-automated features widely used in self-service BI aren't commonplace in data science, but Gartner says that's about to change.
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