AI & Machine Learning

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

Getting ahead of industry disruption, successful frameworks for strategic decision-making, and creating value through customer experience.

Companies already use data to make marketing decisions. Will deep learning enable a leap forward?

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

New research sheds light on key changes companies must make to become innovation leaders.

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.

Just because a company can build an AI-infused product doesn’t mean it should.

A human-AI workforce, today’s tech bubble, dealing with deregulation, a misplaced focus on metrics.

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

How companies are making AI pay; tread cautiously in a transparent world; CIOs step up their game.

Gain actionable insights from peers and AI experts during a live Twitter chat.

Our flawed approach to the AI race, corporate boards get less cozy, and not much love for Libra.

We’ve unlocked our site and curated reading lists to help you solve your key business problems.

This case study follows Mondelez International’s project to implement RPA as part of its AI journey.

WeWork’s disastrous week, AI breaks down business silos, and the most important leadership skill.

AI offers the potential to break down silos and make collaboration more effective.

Must-reads for managers: breaking down big tech, smart KPIs, and a new podcast for busy leaders.

Some want big tech companies broken up. Others call for stiffer industry oversight. Who’s right?

In the face of feeling powerless, doing small things can make a huge difference.