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Seth Dobrin

Former Global Chief of AI at IBM, with experience in data engineering and data science at Monsanto. Currently leads a fund investing in AI startups.

Top 3 podcasts with Seth Dobrin

Ranked by the Snipd community
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Nov 27, 2024 • 50min

The Future of AI: Living Forever and a Work-Free Society

Dr. Seth Dobrin, former Global Chief of AI at IBM, shares his rich experience in AI and data science. He discusses the complex relationship between AI and entrepreneurship, stressing the need for diversity in AI development. The conversation delves into the socio-economic implications of job automation and the philosophical shift of redefining work's value. Dr. Dobrin also highlights the revolutionary potential of integrating science with AI for breakthroughs in healthcare, urging responsible technology use to avoid utopian pitfalls.
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Sep 10, 2024 • 50min

Strategy and AI with Dr. Seth Dobrin

Seth Dobrin, CEO of QuantmA1 and former Global Chief AI Officer at IBM, dives into the world of AI in commodities and agriculture. He discusses the lag in AI adoption within these sectors, emphasizing the need for tailored models to enhance supply chains. Seth also explores AI's transformative potential in energy, predictive analytics for trading, and the relationship between innovation and shareholder value. He highlights the importance of responsible AI development and the regulatory landscape that companies must navigate.
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Sep 10, 2024 • 18min

‘These models will always hallucinate’: Seth Dobrin on LLMsDek

Seth Dobrin, founder of Qantm AI and former global chief AI officer at IBM, addresses the complications of large language models (LLMs) in financial services. He highlights the alarming rate of hallucinations in these models and discusses mitigation strategies like retrieval augmented generation. Dobrin also emphasizes the ethical ramifications of data usage, the environmental impact of LLMs, and the need for a responsible framework to harness their potential effectively. His insights shed light on the critical balance between innovation and accountability in AI.