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...
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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...
How Pascall + Watson Navigates the AI Revolution in Architectural Practice
Project Flux
42 minutes
3 months ago
How Pascall + Watson Navigates the AI Revolution in Architectural Practice
Send us a text What happens when a leading architectural firm takes a methodical approach to AI adoption? In this thought-provoking conversation with Pavan Birdi, Senior Associate at Pascall + Watson, we explore the strategic implementation of artificial intelligence in architectural practice—particularly within risk-sensitive sectors like aviation and defense. Pavan reveals why Pascall + Watson chose a more cautious and strategic approach than many competitors in embracing AI, carefully wei...
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...
