Data, AI, & Machine Learning

AI systems can now make accurate, independent decisions — but they still need human inputs.

In this webinar, MIT research scientist Matthias Winkenbach discusses how interactive visualization and augmented reality technology to change the way we access, understand, and utilize complex systems and logistics data.

Artificial intelligence helps doctors make better diagnoses. It can do the same for corporate leaders.

Marketers need a holistic data and analytics approach to deliver personalized customer experiences.

The sports industry’s use of analytics on and off the field highlights three key strategies for success.

Getting business value from data depends on developing effective analytics teams — leaders included.

IoT-enabled devices are the new weakest link in data security — and companies need to address this now.

Watch a free, on-demand webinar with MIT research scientist Matthias Winkenbach on how interactive visualization and augmented reality technology to change the way we access, understand, and utilize complex systems and logistics data.

A global survey finds that AI is delivering value to companies that use it across operations.

Identifying the optimal prices for products was once a time-consuming process. That’s changing.

The best path to AI is to establish a foundation in capturing, preparing, and analyzing data.

Small errors in data linkages can sometimes prove damaging — but not if managers watch for them.

Health care companies are using digital tools to put doctors’ focus back on patients.

To fully benefit from supply chain analytics, companies need to be able to act on insights quickly.

AI offers a potential solution to the problem of training employees how to find and use data.

Logistics partners use supply chain intelligence to meet the demands of the high-tech industry.

Tough new EU data security laws mean that consumers’ data is about to become more valuable.

Though customer service is a key analytics focus, it offers potential for security improvements too.

How is business actually using artificial intelligence?

It pays to ask yourself whether your job is common and repetitive enough to be done by a machine.