Technology Implementation

The novelty of self-driving cars overshadows the real promise of AI: augmentation of human skills.

How soon will smart machines start looking out for our health?

Moving to a digital business model altered Marriott’s culture in unexpected ways.

Viewing digital transformation as a maturation process may help companies limit their growing pains.

Automation brings with it questions about what to do about worker displacement.

New digital technologies are changing the rules of competition by expanding the boundaries of what a company can handle and introducing new sources of advantage.

The transformative potential of blockchain is real, but so are the challenges to its implementation.

Instead of eliminating human workers, AI may create new jobs requiring updated skills and training.

Businesses should understand that in the long run, the promise of AI is self-limiting.

The best use of digital technology is assisting human workers to maximize innate capabilities.

The challenge we face today is not a “world without work” but a world with rapidly changing work.

Managers often lose sight of the essentials because digital business is changing so quickly.

Understanding these five myths will give you a more realistic view of digital transformation.

Near-term expectations for additive manufacturing techniques are overoptimistic.

IoT early adopters are reaping rewards in more timely, accurate, detailed, and reliable data.

Managers should start incorporating AI into business processes now.

A new MIT SMR and BCG initiative investigates the challenges and opportunities AI offers business.

AI is expected to be the single most disruptive new capability for companies in the next decade.

Advanced risk identification tools require companies to take a new approach to supply chain resilience.

Automation and robotics could have far-reaching effects on labor — ones we’ve seen before.