Technology Innovation Strategy

On Tuesday, March 10, we’ll talk about artificial intelligence and business.

How companies assign responsibility for analytics is a crucial factor in exceeding business goals.

The most challenging path for systems evolution is also the most rewarding.

The changing role of CEO, designing AI systems customers won’t hate, and a lesson from Beethoven.

Three crucial steps can help companies overcome legacy approaches — without automating everything.

Transformation strategies are bound to flop unless leaders evolve in some pretty dramatic ways.

New research sheds light on key changes companies must make to become innovation leaders.

Blockchain is vulnerable in some ways that conventional systems are — and in ways all its own.

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.

CIOs steeped in technical operations must change gears and develop a strategic focus.

The time when companies could simply ask the world to trust AI-powered products is long gone.

The most effective responses to digital disruption don’t make use of technology at all.

A successful pitch for AI must overcome economic, technical, political, and cultural hurdles.

A value chain lens reveals a growing cybercrime ecosystem and new strategies for combating it.

Cognitive speed bumps in AI design can prompt users to engage in reflective thought.

Five capabilities and four practices help companies generate business value from AI applications.

Smart machines can help pick crops and reduce traffic — but what’s their impact on privacy?

The best chief digital officer candidate may not come from outside your company.

Technology changes quickly, but organizations change much more slowly.