Me, Myself, and AI

Jennifer Strong joins hosts to discuss capturing AI-related moments, human element in podcast creation, technological skepticism in AI pilot training, human connections through podcasting, rapid evolution and misconceptions of AI technology.

Experts from Ohio State University and U.S. Steel discuss how AI is revolutionizing manufacturing processes, data-enabled decision-making, data quality, optimizing manufacturing with AI, and enhancing communication and collaboration in the industry.

Tom Davenport, President’s Distinguished Professor at Babson College, discusses AI trends for 2024 with Sam and Shervin. They cover the excitement and importance of generative AI, its advantages and rise of data-oriented culture. They also talk about the potential impacts of removing safety protocols, proactive adoption, and staying ahead of rapidly changing AI tools.

In this bonus episode, the hosts discuss the use of AI in retail organizations. They explore the value of AI in the fashion business, the impact of AI on retail allocation, and the challenges faced in integrating AI technology. They also discuss demographic-based store organization and the transformative power of generative AI.

Mark Surman, President of the Mozilla Foundation, discusses the roles of big tech and startups in responsible AI. He highlights the need for trustworthy AI and the significance of open source technology. Surman also shares his background in communications and technology, emphasizing the importance of privacy and openness. The podcast explores the accessibility of AI for individuals and smaller companies, and the need for balanced regulation in emerging technologies.

Prem Natarajan, Chief scientist at Capital One, discusses applying AI in fraud detection, the transformative power of large language models and generative AI, evolving composition of AI teams, and the potential applications of generative AI in summarizing papers and comparing documents.

Vandi Verma, chief engineer at NASA's Jet Propulsion Laboratory, discusses the opportunities for AI in robotics and automation on Mars. She explains how AI is used in digital twin simulations for practicing driving skills before controlling rovers. Verma explores the similarities between risk decisions in Mars exploration and autonomous driving, highlighting the importance of simulations. She also addresses the potential and misconceptions surrounding AI, personal aspirations, challenges in neural networks, limitations of AI in space exploration, and lessons applicable to other areas.

Chevron's first chief data officer, Ellen Nielsen, discusses the company's use of AI and machine learning in various areas such as tank inspection, digital twins for simulation, and equipment monitoring. She also talks about Chevron's citizen development program, which empowers employees with AI tools. The podcast explores the potential of AI in healthcare, climate transition, and education systems.

Director of product for Shopify, Miqdad Jaffer, talks about how generative AI enhances Shopify's offerings, allowing users to complete administrative tasks quickly. He explains the importance of keeping users in control and shares Shopify's approach. AI-powered tools like Shopify Magic and Shop.AI help entrepreneurs start and grow businesses efficiently.

Ayelet Israeli, assistant professor at Harvard Business School, discusses the opportunities and limitations of generative AI in market research. She explores how AI can simulate focus groups and surveys, reducing time and cost. They also discuss the rationality of marketing strategies and the challenge of finding extreme ideas. Israeli highlights the potential of AI in addressing bias and generating unbiased outcomes, mentioning the improvement in AI models over time.