Intelligent, context-aware data and analytics technologies widen the decision-making aperture
These four innovations can help companies achieve an optimal mind-machine balance when it business decision making.
Why machines need humans to learn
Devices get smarter all the time, but to become truly intelligent, humans must create the models for gadgets to “learn” from.
Demystifying machine learning part 4: Image and video applications
Some firms are using machine learning to process large amounts of unstructured data, but it’s not widespread—yet.
The capabilities and limitations of video analytics
Video analytics promise to help retailers better understand customers. Here are three issues to keep in mind.
5 growing pains for Chief Data Science Officers
These best practices can help Chief Data Science Officers demonstrate their value and achieve success.
Do you need a Chief Data Scientist?
How to determine if your company needs a chief data scientist to help improve its business decision making.
The future of collaboration: Large-scale visualization
Why large-scale visualization may be the key to success for improving business decision making with data analytics.
The high value of advanced data visualization
Compelling visualizations are necessary for big data to make an impact on enterprise decision making.
Finding a home for the Chief Data Science Officer
Where the chief data science officer fits in your org chart depends on your analytics strategy. Here are some models to consider.
