Data, AI, & Machine Learning

Innovation-focused adopters of AI are positioning themselves for growth, which tends to stimulate jobs.

Apps that encourage users to share contact information expose companies to a huge security liability.

As smart technologies embed deeper into human processes, a more powerful form of collaboration is emerging.

Using AI to create humanlike computers is a shortsighted goal.

The fundamental disruption introduced by AlphaZero’s hyperlearning in the chess world can teach business executives about AI.

Executive transparency better positions organizations for growth.

Deploying AI is very different from implementing standard software — and human input is essential.

Advances in inventory and sales analytics make it possible to deliver products both cheaply and quickly.

Join the co-authors of “Using Analytics to Improve Customer Engagement” and special guest Teddy Bekele as they show how analytical innovators are gathering and sharing data to build loyalty and keep customers.

Aspiring leaders need to harbor healthy skepticism of the digital technologies they champion.

Machine learning is susceptible to unintended biases that require careful planning to avoid.

Sports analytics leaders are now using data to understand fans as well as they know their players.

Part 1 of our eight-part video series explores how integrated digital technologies can transform business.

In this webinar, David Harcourt of Yum! Brands Inc. shares his research and experimentation with HR analytics.

MIT SMR’s 2018 Data & Analytics Report finds a link between customer engagement and data analytics.

MIT SMR hosts a Twitter chat on analytics and customer service on March 1, 2018, at 11 a.m. EST #MITSMRChat.

Data audits may be helpful in maintaining balance between data-rich and data-poor companies.

New technology-driven business models are undercutting the traditional advantages of economies of scale.

Robots that use body language can have a positive effect on their human colleagues.

A new survey reports companies are now seeing a direct correlation between big data and AI success.