Technology Innovation Strategy

A webinar discusses strategy and leadership approaches to digital transformation.

Until regulations catch up, AI-oriented companies must establish their own ethical frameworks.

Many companies are putting themselves through military-inspired games to beef up their cyber resilience.

What if, instead of perpetuating harmful biases, AI helped us overcome them?

Getting business value from AI means separating myths from facts.

Banks need a clear AI strategy to get digital transformation right.

Businesses that make and sell products that replicate human connection are serving a deep need, but they may also be changing social norms in ways that can’t be reversed.

“Flight simulators” to prepare managers for cyberattacks lead to better cybersecurity decisions.

Companies won’t make a successful digital transition if they don’t meet three key conditions first.

In the growth of artificial intelligence, technology is changing faster than society can keep up.

Viewing technology as a set of solutions misses opportunities to innovate in bigger, bolder ways.

Capgemini’s Didier Bonnet explores the complexity and necessity of digital transformation in 2018.

Cybersecurity can no longer be an add-on — companies must invest in future-proofing their systems.

The future of AI looks much like the present, with machines helping humans to do their jobs better, not replacing them.

Leaders at the forefront of making organizations AI-driven have seven key attributes.

Internal politics are human nature — and addressing them is key for reaching digital maturity.

For platform businesses, matchmaking isn’t everything. They’re also risk minimizers for buyers and sellers.

Digital decoupling is a key to combating technical debt and unlocking strategic agility.

Early adopters of artificial intelligence will divvy up a global profit pool valued at $1 trillion.

This MIT SMR webinar offers strategies for how to get the most out of AI’s potential.