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.
Amnesty International’s Matt Mahmoudi and Damini Satija discuss the impact of AI tools and machine learning on human rights. They share examples of AI misuse and their approaches to addressing issues like government surveillance and bias in algorithmic decision-making.
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On this episode, Jeremy King, senior vice president and head of engineering at Pinterest, discusses some recent advances Pinterest has made in the image-recognition space and shares his views on how generative AI will transform image-based content like Pinterest’s.
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How can AI and machine learning help people learn better? On this episode, Zan Gilani, principal product manager for Duolingo, explains how the company relies on large language models to offer customers a product that is predictive, motivating, and personalized.
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Naba Banerjee, Airbnb’s head of trust product and operations, explains how implementing AI and machine learning, and using the technology to identify potentially risky travel bookings, has resulted in better experiences for the platform’s guests and hosts alike.
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On this episode of Me, Myself, and AI, David Hardoon, CEO of Aboitiz Data Innovation, shares some of the technology conglomerate’s creative applications of artificial intelligence. He also explains why he believes regulation helps rather than hinders AI innovation.
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The semiconductor manufacturer’s social scientists are helping technicians learn how artificial intelligence can enhance — not take over — complex assembly work. On this episode of the Me, Myself, and AI podcast, learn how social scientists help facilitate human-machine collaboration at Intel.
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There are thousands of entrepreneurs seeking VC, so how do investors decide which innovations are good bets? On this episode, Hina Dixit, an investor with Samsung Next, shares her criteria for evaluating investments in AI startups and other tech businesses.
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