Dino Scheidt is an AI Engineer, former CTO and Founder who works with Fortune 50s, Start-Ups, and Governments on Data Intelligence and AI Architectures. In this conversation, we explore the evolving landscape of AI with a particular focus on generative AI and its applications. Dino criticizes the concept of 'AI strategies,' arguing that AI should be seen as a tool rather than a strategy. Despite his initial skepticism towards generative AI, Dino acknowledges its potential, especially in transforming traditional value chains through AI-enabled communications. We also delve into the challenges and opportunities posed by non-deterministic systems, the concept of Data P&L, and the complexity of integrating generative AI into existing business operations. Dino wraps up the discussion by emphasizing the importance of lateral thinking and digital representation of business processes to leverage future AI innovations effectively.
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TIMESTAMPS:
00:00:12 Introduction and background
00:00:45 AI and Generative Models
00:04:36 Deterministic vs Non-Deterministic Systems
00:08:19 Unpredictability, Value Chain, and AI Integration
00:13:26 Hype Cycle: Adjective to Noun
00:19:13 Strategic Integration of Generative AI
00:28:36 Value of Generative AI: Consumer vs. Enterprise Perspectives
00:32:12 Event Storming and Tactical AI
00:39:51 Future of AI and Final Thoughts
00:42:36 Closing
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