Webinars & Videos

As the CIO function becomes more strategic, these executives focus on customer experience.

MIT SMR editor in chief Paul Michelman kicks off the Disruption 2020 Virtual event.

There are four common misconceptions that leaders often succumb to when thinking about disruptive innovation.

Even before the COVID-19 pandemic, traditional education models were poised to be disrupted.

Tucker Marion and Sebastian Fixson outline four essential skills workers need to master to succeed in digital environments.

To ensure success, entrepreneurs need to create two business plans: one for disruption and one for cooperation.

Amy Webb outlines the 11 sources of change that could disrupt your organization.

SAP’s Max Wessel explains why advisory board guidance is critical in innovation.

The current pandemic presents an opportunity for creativity to rethink skills development, worker protections, and health care.

Western organizations shouldn’t attempt to transplant what works in their own countries into developing economies, but instead should become familiar with the environments there and seize existing opportunities in-context.

It’s time to rethink resilience, in the context of sustainability and the current COVID-19 pandemic.

A webinar to help leaders proactively respond to the COVID-19 crisis.

Kimberly Nevala, Peter Guerra, Rob Stillwell, and Capt. Michael J. Kanaan discuss how to connect strategic objectives to AI use cases.

A webinar describes how to develop AI customer service chatbots that meet customer expectations.

A webinar explains how AI can improve communication and coordination across business units

A webinar looks at the leadership implications of the changing workplace.

MIT SMR authors David Bray and R “Ray” Wang discuss how people-centered design principles can serve as a framework in AI implementation.

A webinar summarizing lessons learned in AI implementation from the 2019 Winning With AI Report.

A webinar for managers who need to balance frank feedback with data-driven performance and inclusivity.

Tom Davenport, Alex Breshears, and Abbie Lundberg discuss the specific challenges enterprises face in machine learning, and how they can create an end-to-end, factory-like capability.