Technology Implementation

Slack makes us miserable, automated vehicles’ future, and a CEO letter confronts climate change.

Auto companies or tech companies can’t develop winning mobility offerings on their own.

AI strategy will only get big results if companies focus on what AI can do at scale.

Many IoT projects have stalled. Success depends more on strategy than on technology.

The changing role of CEO, designing AI systems customers won’t hate, and a lesson from Beethoven.

Six risks that business leaders can begin to strategize around now.

Companies implementing AI must protect customers’ autonomy, privacy, and individuality.

MIT SMR Winter 2020 examines workers’ emotions and education, tech dilemmas, and how best to transform.

To plan for change that will stick, leaders must first understand how employees adopt digital tools.

Scaling with agile, Elon Musk’s Cybertruck, and Amazon weaves itself into the fabric of America.

MIT SMR authors David Bray and R “Ray” Wang discuss how people-centered design principles can serve as a framework in AI implementation.

How vigilant companies stay ahead, Disney+, and using software to measure emotions.

Facial recognition tech can identify and analyze key emotional states — but must be used with care.

Avoiding the technology trap, AI needs a human touch, and good storytelling with data.

Blockchain is vulnerable in some ways that conventional systems are — and in ways all its own.

History shows we should focus more on policy than technology challenges when confronting automation.

Preparing for CEO turnover, demystifying AI, and operating in the age of online outrage.

Tom Davenport, Alex Breshears, and Abbie Lundberg discuss the specific challenges enterprises face in machine learning, and how they can create an end-to-end, factory-like capability.

Stanford’s Bob Sutton examines the non-financial debts that companies carry on Three Big Points.

The most effective use of AI: Symbiotic systems enabling humans and AI to work to their strengths.