The AI in Business Podcast

In this episode, Peter Tu, Chief Scientist of Computer Vision at GE Research, discusses the advances in real-time cloud computing for computer vision in manufacturing. He explores the challenges of incorporating subjective questions into computer vision systems and the process of implementing these systems. Tu also highlights the importance of understanding the environment and ontology of objects and actions when adopting AI in manufacturing. Finally, he explores the role of computer vision in predictive inventory and teases upcoming episodes in the Beyond GPU series.

Ramesh Durvasula, Senior Vice President of R&D IT at Eli Lilly, discusses the challenges in biotech research and how AI is revolutionizing the healthcare industry. Topics include AI's potential in drug discovery and clinical development, challenges of applying AI in rare disease research, benefits of AI in life sciences and the concept of copilots, and exploring the potential of digital twins in healthcare and other industries.

Today's guest explores high-ROI use cases for generative AI models, emphasizing productivity enhancement and operational efficiencies. They discuss practical examples in the retail and manufacturing sectors, including recommendation engines for tech manufacturers and convenience store security camera integration. The podcast also delves into ensuring compliance in food processing plants using AI models for monitoring and preventing non-compliance events.

Adam Burns, Vice President of Network and Edge and Director of EdgeAI Development Tools at Intel, discusses the challenges of using computer vision in manufacturing, the differences in computer vision application in retail and healthcare, customization capabilities and flexibility in computer vision for manufacturing, blending sensor data in computer vision for deeper insights, and tailoring sensor systems and infrastructure in manufacturing.

In this 'AI Futures' debate, Roko Mijic and Roman Yampolskiy discuss the impact of Artificial General Intelligence (AGI) on society. They explore the control and controllability of superintelligence, the need for extensive research in AGI development, the predictability and control of complex systems, and the challenges in understanding power dynamics. The episode presents grounded insights from both optimists and skeptics, offering perspectives on the potential dangers and benefits of AGI.

Christian Mitchell, EVP and Chief Customer Officer at Northwestern Mutual, discusses the impact of LLMs and generative AI on customer experiences in financial planning and life insurance. He explores the ethical implications, the role of AI in bridging deferred gratification and immediate visualization, and the power of visualizations in financial decision-making.

Mark Heaps, VP of Brand and Creative at Groq, discusses challenges in scaling enterprise AI capabilities and highlights Groq's software-hardware ecosystem as a solution. They explore real-time AI systems, overcoming infrastructure challenges with kernelless systems, the two stages of model development, and understanding challenges in AI model development.

Today's guest, Alberto Rizzoli, CEO of V7, explores use cases of large language models in life sciences, retail, and manufacturing. Topics include automating labeling in drug discovery, AI-assisted surgeries, self-labeling for data quality, human expert feedback in retail, and industry crossover between manufacturing and healthcare.

Alan Boehme, CTO at H&M, discusses retail challenges including generational trends, sharing consumer intelligence, and merging convenience with unique experiences. They explore the impact of personalization and technology on retail, Gen Z's relationship with technology, changing preferences for in-person experiences, and the influence of generative AI on retail loyalty.

Dr. Pani Farvid, founder of the SexTech Lab, discusses the future potential of AI-generated content on human reward systems. Topics explored include artificial intimacy, the impact of technology on sex and relationships, the hedonic treadmill, the debate between real and virtual experiences, and the need for collaboration in addressing ethical implications of AI and technology.