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.

EPISODE LINKS:

• Dino Scheidt LinkedIn: https://linkedin.com/in/dinoscheidt
• Dino Scheidt Website: https://din.ooo
• The Gartner Hype Cycle: https://en.wikipedia.org/wiki/Gartner_hype_cycle

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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