Managing Technology

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.

This guide from MIT SMR Connections and AWS takes leaders from strategy to a technology plan.

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.

Make the most of your distributed workforce.

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.