AI & Machine Learning
Why the ‘Just Do Something’ Strategy for AI Won’t Work
AI strategy will only get big results if companies focus on what AI can do at scale.
AI strategy will only get big results if companies focus on what AI can do at scale.
Research examined how innovation and technology are changing how we strategize, lead, and create.
The most popular articles of 2019 address continuous learning, responsiveness, and adaptability.
The changing role of CEO, designing AI systems customers won’t hate, and a lesson from Beethoven.
Companies implementing AI must protect customers’ autonomy, privacy, and individuality.
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.
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.
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.
Early AI winners align organizational and business strategies to build value and manage risk.
Our flawed approach to the AI race, corporate boards get less cozy, and not much love for Libra.