Understand how statistics differs from machine learning, how algorithms predict weather patterns, and how you should improve your security.
- By Lindsay Stares
- August 29, 2017
Leading companies are embracing GPUs to deliver performance for modern enterprise strategy and take their analytics to the next level.
- By William McKnight
- August 25, 2017
How retailers and game developers use data science, and how researchers project the effects of city growth.
- By Lindsay Stares
- August 24, 2017
A giant GPS drawing, a chart of airplane crash causes, and a graphic showing when planes strike animals.
- By Lindsay Stares
- August 23, 2017
Use a big data model to value start-ups, learn the right languages for data science, and understand how the healthcare industry is trying to protect connected devices.
- By Lindsay Stares
- August 22, 2017
Most technology scenarios pit the agility needed by business users against the governance needs of IT. With data, this internecine conflict can disappear.
- By Romi Mahajan
- August 22, 2017
Although technology advances are making a difference, organizations also need to improve practices and leadership to realize value from BI and analytics sooner.
- By David Stodder
- August 21, 2017
In the age of machine learning and artificial intelligence, data integration plays a key role in the digital transformation of any enterprise in any industry.
- By Arun Patnaik
- August 18, 2017