Data, AI, & Machine Learning

Pete Maulik and Joey Bergstein discuss three fundamental truths for building an effective future-focused growth strategy.

AI and IoT offer significant benefits — as yet untapped — for facilities maintenance.

The cost of bad data is an astonishing 15% to 25% of revenue for most companies.

Innovative strategies depend more on novel, well-reasoned theories than on well-crunched numbers.

A webinar on how a documented data and analytics strategy can serve as a blueprint to guide marketers and decision makers in their daily roles.

Business leaders need to prioritize effective, two-way communication with their data scientists.

Integrating new technologies with legacy systems is both a problem and an opportunity.

As you explore how software bots can automate tasks, keep in mind some of the accompanying risks.

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.