Webinars & Videos

This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.

Managers and their direct reports can use these strategies to take their one-on-one meetings to the next level.

In this MIT SMR webinar, experts discuss why skill should be front and center in organizations’ talent strategies.

Make better use of meeting time by focusing less on productivity and more on building connections and trust.

Leveraging data assets for significant financial returns requires company-wide effort and education.

Hear nurses’ views on burnout and job satisfaction, along with advice for health care leaders, in this video from MIT SMR.

How to quickly apply new soft skills to tough problems and build lasting culture change.

Management experts share advice for leaders on talent and AI challenges in this video.

Supply chain risks have become nearly incalculable. Managing them requires a capabilities-driven mindset.

This free webinar offers business insights about application programming interfaces (APIs).

The full video of an MIT SMR symposium looks at how the pandemic has changed the way we work.

Learn how to build a culture that attracts top talent and boosts retention.

Business leaders who write competitors’ actions off as irrational risk getting blind-sided.

Shifting emphasis from customer lifetime value to customer portfolio lifetime value can drive future revenue and lower costs.

In this webinar, we outline key findings from recent artificial intelligence and business strategy research, including that mandating individual use actually improves employee engagement across multiple dimensions.

MIT SMR and BCG research team members discuss a recent artificial intelligence study at the Web Summit conference.

Companies stand to benefit from blockchain if they first create a strategic road map and learn from others’ successes.

To succeed with AI, design applications and workflows that tap the best of what people and machines have to offer.

The data streams generated by customers using smart, connected products can lead to new products and services.

Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.