Data, AI, & Machine Learning

Co-op advertising lags behind consumers’ and marketers’ needs — here’s how it needs to change.

MIT Sloan Management Review‘s Fall 2019 issue looks at customer experience, collaboration, and cybercrime.

Through analytics, companies can reduce the costs of collaboration — and reap its rewards.

To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.

Must-reads for managers: sabotage your company, AI passes eighth grade, and those pesky customers.

Digital business means constant uptime — and relentless pressure on enterprise IT. But AI can help.

Giving customers what they want quickly is a worthy goal. Businesses can’t always afford to do it.

Must-reads for managing in a digital age: self-driving companies, flexible work, and piracy.

Automation can go far beyond cars. Self-driving company capabilities are closer than we realize.

#MITSMRChat participants shared ideas about best practices for organizations implementing AI.

Must-reads for managing in a digital age: tech giants on privacy, influencer marketing done right, climate change.

Data and algorithms can mitigate gender bias in venture capital funding.

Must-reads for managing in a digital age: hacking inequality at home, the AI jungle, and why you should kill your favorite meeting.

As AI becomes more ubiquitous, we need clear systems for keeping it in check.

The post-digital tech wave — a powerful, integrated stack of technologies — is coming next.

This week’s must-reads for managing in the digital age.

MIT SMR and BCG host a Twitter chat focused on the corporate adoption of AI.

As sports become ever more analytical, can there be such a thing as too much data?

How cities deal with AI-related changes will determine which ones will thrive in the future.

The time when companies could simply ask the world to trust AI-powered products is long gone.