COVID-19 has forced people to adopt new technology to create shared workspaces. It’s only the beginning.

Equipping employees with wearable or implantable AI devices may improve efficiency, but firms must weigh ethical concerns and prepare customers for the new experience.

In his new book, Futureproof, Kevin Roose provides useful advice for humans on life amid rampant automation.

A modern strategy that works will require leaders to learn new skills and apply new tools. Here’s a primer for a refreshed approach.

How to build a world-class data and insights capability in the post–COVID-19 world.

Focus on six organizational elements to build a world-class data and insights capability in the post–COVID-19 world.

COVID-19 is accelerating companies’ shift to virtual working, but employers still need people-centric ways to assess employees’ strengths and weaknesses.

Rolling out innovative technologies carefully and strategically can build trust.

More access to AI tools means more innovation, but the process of providing this access must be carefully managed.

Artificial intelligence could soon deliver sports commentary customized to a viewer’s preferences. And if robots can learn to do this sort of talking, the applications could be far-reaching.

Thriving in a complex and expanding ecosystem.

Speaking of code.

For agribusinesses, implementing new technologies requires focusing on four critical capabilities.

Barbara Humpton, US CEO of one of the largest and oldest engineering firms in the world, talks about continuous innovation, the future of AI, and the societal aspects of technology.

Gaming, artificial intelligence, and deep learning are paving the way for dynamic and resilient 21st-century business models.

A 3D simulation is changing the behaviors of the world’s best soccer players — and the business world is catching on.

Blockchain, IoT, and AI offer companies new ways to track, secure, and verify their assets.

Taxes are often viewed as simply a compliance issue. But what if organizations thought of taxes as a way to benefit their businesses now, and help them plan for a better future? Here, a collection of articles delves into different corners of the tax world to explain how it’s done.

It’s not the algorithm behaving badly, but how we define fairness that determines an artificial intelligence system’s impact.

To make artificial intelligence live up to its promise, we need to understand and reframe the values implicit in the technology.

Data is often the lifeblood of modern organizations, but a company’s culture must take both its risks and rewards to heart.

Businesses should get involved as governments devise national AI strategies to encourage innovation, protect citizens, and compete globally. See also “2019 AI Predictions: 7 Trends You Can’t Afford to Ignore.”

Despite all the information available about artificial intelligence — and the efforts business leaders are making to come to terms with this technology — there are still some takeaways you should consider this year. Gain additional insights with PwC’s 2019 AI Predictions.

Senior executives need to lead a workforce that seamlessly blends human talent and automation.

Business leaders must implement artificial intelligence in a principled way to optimize customer experience and earn people’s trust.