Episode 27: Turning Sound Into Information: Warner Music Group’s Kobi Abayomi
Warner Music Group’s Kobi Abayomi shares how AI helps customers discover new music, and his approach to hiring data scientists.
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.
Warner Music Group’s Kobi Abayomi shares how AI helps customers discover new music, and his approach to hiring data scientists.
The senior vice president and chief global strategy and AI officer of Levi Straus & Co. explains how the clothing company’s machine learning boot camp is expanding employee skills and driving innovation.
Consumers have invited AI into their lives with voice-activated personal assistants like Siri and Alexa. But how do they feel about computer vision technologies that can provide visual coaching and feedback in their homes? Sanjay Nichani, vice president of artificial intelligence and computer vision at Peloton Interactive, describes one compelling use case in the at-home fitness space.
As the first chief technology officer at tool manufacturer Stanley Black & Decker, Mark Maybury oversees the company’s innovation portfolio and prioritizes the responsible use of artificial intelligence in its product development efforts. In this episode of the Me, Myself, and AI podcast, Maybury shares what it’s like being the champion of extreme innovation across the company and the importance of managing risk and rooting out bias in AI systems.
Are You Making the Most of Your Relationship with AI?
A recent BCG-MIT Sloan Management Review study suggests that in order to achieve significant financial benefits from their machines, companies will have to look beyond automation—and focus instead on learning and organizational transformation.
