Jeff Otto, CMO at Riskified, shares findings from their survey on refund and loyalty programs in retail, emphasizing the impact on bottom lines. They discuss the issues of abuse in these programs and the importance of accurate data for order evaluation. The podcast also explores risk assessment in retail transactions and the future of personalized retail experiences through AI-driven identity engines.

Carm Taglienti, Chief Data Officer and Data/AI Portfolio Director for Insight, discusses the future of generative AI capabilities, including more complex models and faster training. They also explore the role of AI in personalized learning, regulation, compliance, and oversight. Additionally, they draw parallels between the dawn of AI and the printing press, highlighting the importance of trust and reliability in AI systems.

Haden Kirkpatrick, Vice President of Innovation and Venture Capital at State Farm, discusses challenges facing the insurance industry, the importance of leveraging data tools, changes in the industry due to IoT and generative AI, optimizing customer experience using telematics platforms, data's role in underwriting and pricing decisions, and insights on data collection and front door verification in insurance.

Don McGuire, Chief Marketing Officer at Qualcomm, discusses the digital transformation of the automotive industry, including the concept of a digital chassis and its components. They also explore the emotional attachment people have to car brands, adding services and enhancements to vehicles, and the impact of new technologies on vehicle valuation and longevity. Additionally, they discuss the potential for car companies to become major tech players and the importance of infrastructure for AI-driven virtual worlds.

Gordon Wilson, CEO of Rain, discusses business problems and use cases in edge computing power. Topics include deploying AI at the location of information, embedding intelligence in machines for enhanced capabilities, generative AI creating personalized experiences, and upcoming episodes in the 'Beyond GPU' series.

Mark Surman, President and Executive Director of the Mozilla Foundation, discusses the parallels between the early days of the internet and the current state of generative AI. They explore the potential merging of technology and society, the implications of new technologies in the virtual world, and the importance of maintaining agency in decision-making.

Heather Lane, a Senior Architect at athenahealth, discusses the implications of generative AI in healthcare, including reducing paperwork and assisting with routine tasks. The podcast emphasizes the importance of internal governance, establishing standards, and involving stakeholders for using generative AI in healthcare. The risks of generative AI are also discussed, such as AI bias and lack of understanding in how LLMs work. The potential future state of healthcare, where data seamlessly flows between patients and doctors, is explored.

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.