Are you interested in bringing machine learning and predictive analytics to your enterprise? Many prospective users don't know where to start.
- By James E. Powell
- October 18, 2017
You can avoid common challenges associated with creating a C-level data office by partnering with both IT and business leaders on three critical tasks.
- By Suresh Venkateswaran
- October 17, 2017
Detecting threats to mobile devices, analyzing unstructured data for security use, and augmenting human cybersecurity with AI and machine learning.
- By Lindsay Stares
- October 17, 2017
You need these best practices to define the data lake and its methods.
- By Philip Russom
- October 16, 2017
Don’t overcomplicate your analytics. Sometimes the simplest analysis is the best.
- By Scott McKinney
- October 12, 2017
Read about four popular machine learning algorithms, advice for successful data stewardship, and the advantages of NoSQL databases.
- By Lindsay Stares
- October 12, 2017
Language analysis doesn’t have to be complex; these charts show the sources for English, where common languages are spoken, and how writing affects drawing.
- By Lindsay Stares
- October 11, 2017
Advice for managers on how to handle a team member who won't back down.
- By Jill Dyché
- October 11, 2017
Good data means you're able to sift through the noise and quickly identify current and future opportunities relevant to your business.
- By Naveen Rajkumar
- October 10, 2017