Collecting customer data has provided benefits to both consumers and businesses, but there are costs to using personal data. What are the trade-offs between personal data privacy and customer analytics?
- By Matt Lindsay, Ph.D.
- September 20, 2016
Today learn why users turn to shadow IT solutions and why trusting blindly in data analytics may perpetuate biases.
- By Quint Turner
- September 20, 2016
If your team has been taking "too long" to finish its big data project, here are five steps to take now to regain trust and respect and show the business benefits of your work.
- By Jill Dyché
- September 20, 2016
Tableau officials are adamant that the transition of cofounders Christian Chabot and Chris Stolte to new roles won't disrupt ongoing product development. If anything, they claim, customers should expect more from Tableau.
- By Steve Swoyer
- September 19, 2016
MyScript uses machine learning to build highly accurate handwriting recognition algorithms. The company says its technology works with 95 percent of written languages as well as mathematical equations and music.
- By Linda L. Briggs
- September 19, 2016
Find out why the next cyberattack might include data manipulation, best practices to make your data lake successful, and the differences between BI, data analytics, and data science
- By Quint Turner
- September 19, 2016
Solution allows users to realize value from their big data implementations faster and more securely.
Machine learning is a hot topic today and businesses around the world are using it to gain a competitive advantage. It is not a magical technology, rather the application of time-tested statistical practices to common business processes.
- By Troy Hiltbrand
- September 16, 2016