Why do only 10% of companies succeed with AI? For four years, BCG and MIT SMR have studied corporate adoption of artificial intelligence. The most recent research has found that 90% of organizations do not realize significant financial benefit from the technology. So, what are the other 10% doing right? Each episode of Me, Myself, and AI features a discussion with a leading practitioner helping his or her organization gain measurable value from AI.
Whether they work at a born-digital organization or (more often) a legacy company, our guests all have actionable insights to share. The series covers strategy, deployment, human-and-machine collaboration, and scaling. We also explore what first interested these leaders in AI, how they got to where they are today, and what keeps them excited about their field.
Joelle Pineau, vice president of AI research at Meta and a professor at McGill University, explains how her interest in robotics led her to a career in technology research and describes some of the AI initiatives Meta has underway.
Patrick Hebron, author of Machine Learning for Designers, has led technology product development teams at Adobe and Nvidia Omniverse. He describes some of the technical challenges in building generative AI solutions for creative pursuits, as well as their vast potential.
Mario Rodriguez, senior vice president of product at GitHub, explains how the company’s AI assistant, GitHub Copilot, keeps developers engaged in their work as they develop software solutions with the help of artificial intelligence.
Paul Romer, a Nobel Prize-winning economist and director of Boston College’s Center for the Economics of Ideas, debunks some myths about the hype around AI and predicts that the most promising future for the technology is in education.
