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.
With data, you can measure and improve performance, but that won’t facilitate breakthroughs.
Times of rapid change call for a new leadership model.
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.
CIOs steeped in technical operations must change gears and develop a strategic focus.
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.
Major makeovers should benefit — and be noticed by — those who buy a company’s products and services.
We’ve unlocked our site and curated reading lists to help you solve your key business problems.
Fintech adoption carries threats as well as opportunities. Managers’ decisions must evaluate both.
If companies want to compete with blockchain, they must first cooperate to develop standards.
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?
How you manage your culture — not your tech — during a transition to digital is the key to success.
