Information management

The technology can dramatically reduce the “translation” costs that keep teams, tools, and data from working together.

The founder of Wikipedia on crafting a career around your interests, ensuring quality in crowdsourced content, and building a better internet.

Four emerging innovations that could have profound effects on business.

Two years ago, licensing deals with AI developers amounted to about $75 million. This year the figure will be about $20 billion—and next year it could be twice that.

They integrate it with Western systems to deliver real advantages.

What Amazon learned when it automated the creation of product pages.

By studying 100 companies, researchers have identified four ways to strategically implement the technology.

Recent legal rulings will have major implications on both creative industries and AI companies.

Even the most up-to-date AI risk mitigation systems will buckle under the complexity of what’s coming next.

Efforts to manage cyber risk must be transparent, structured, justifiable, and agile.

Learn fast by democratizing testing.

Despite traditional exit interviews, managers often don’t understand exactly why employees leave. Nor do they know how to respond effectively to feedback.

Know what to listen for—and how to respond.

Companies are inhibited by siloed customer data. Digital customer hubs can help.

“Evolvable scripts” are brief instruction sets that are easy to understand and remember, and allow room for employees to adapt to specific and changing needs.

Interviews with the Blue Cross Blue Shield of Michigan management team identified seven principles that guided their actions.

It’s time to clean up the antiquated, functionally isolated, and customer-disconnected ways of doing work.

Four questions to ask when you’re considering the evidence.

New research suggests an effective way to address it.