Send us a text Summary In this episode of the Project Flux podcast, James Garner speaks with Noel Hurley, CEO of Literal Labs, about his journey from ARM to founding Literal Labs. They discuss the evolution of AI technology, the innovative approach of settling machines, and the importance of decision intelligence in various industries. Noel emphasizes the need for explainability in AI, the human element in decision-making, and the future of work in the context of AI advancements. The convers...
All content for Project Flux is the property of Project Flux and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Send us a text Summary In this episode of the Project Flux podcast, James Garner speaks with Noel Hurley, CEO of Literal Labs, about his journey from ARM to founding Literal Labs. They discuss the evolution of AI technology, the innovative approach of settling machines, and the importance of decision intelligence in various industries. Noel emphasizes the need for explainability in AI, the human element in decision-making, and the future of work in the context of AI advancements. The convers...
Send us a text Summary In this episode, Vijay Luthra discusses the intersection of AI and public services, highlighting the challenges of government reform, the impact of legacy systems, and the cultural hurdles that impede progress. He emphasizes the potential of AI to improve public services while also addressing concerns about job displacement and the ethical implications of AI in healthcare. Luthra advocates for a long-term perspective in implementing AI and the need for leadership to ad...
Project Flux
Send us a text Summary In this episode of the Project Flux podcast, James Garner speaks with Noel Hurley, CEO of Literal Labs, about his journey from ARM to founding Literal Labs. They discuss the evolution of AI technology, the innovative approach of settling machines, and the importance of decision intelligence in various industries. Noel emphasizes the need for explainability in AI, the human element in decision-making, and the future of work in the context of AI advancements. The convers...