Technology Implementation

Companies shouldn’t bottle up digital transformation in any one function.

A conversation with Airbnb’s Theresa Johnson highlights three tangible ways AI can help companies.

AI’s largest and most enduring contributions will be in non-technology sectors, and many of them will come from China.

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

Technology leaders need to take a new approach to regain user trust.

We need a commitment to honestly talk about the challenges technology now poses.

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.

Innovation-focused adopters of AI are positioning themselves for growth, which tends to stimulate jobs.

As smart technologies embed deeper into human processes, a more powerful form of collaboration is emerging.

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

Deploying AI is very different from implementing standard software — and human input is essential.

While executives agree that cognitive technologies are a disruptive force, few companies have a strategy to address them.

Conversational commerce has the potential to transform the business supply chain.

Companies should work toward incorporating AI-driven chatbots that use natural language.

VR is being used for job training, but it also has the potential to reduce our need to commute.

Competitive speed and cheaper apps spell the end to requirements gathering and testing for new tech.

Machine learning is susceptible to unintended biases that require careful planning to avoid.

When artificial intelligence is used to expedite certain legacy processes, it can act more like a Band-Aid than a cure.

This MIT SMR executive guide introduces business leaders to the technologies that are reshaping our world.