Dino Scheidt: Gen AI in Enterprise, Data P&L, and Event Storming

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Aug 8, 2024

Dino Scheidt, an AI engineer with a rich background working with Fortune 50s and start-ups, dives into the world of generative AI. He argues AI should be viewed as a tool, not merely a strategy. Dino discusses its potential to reinvent traditional value chains and the challenges of incorporating non-deterministic systems into business. He highlights the importance of aligning AI initiatives with specific objectives and using innovative approaches like event storming to enhance operational efficiency. Lateral thinking is key to harnessing future AI advancements.

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Intro

00:00 • 2min

Navigating the Generative AI Hype Cycle

01:56 • 14min

Navigating AI Integration in Enterprises

16:03 • 16min

Understanding Event Storming and Its Role in Process Efficiency

32:13 • 4min

Harnessing Data for Strategic Innovation in Technology

36:00 • 3min

Navigating the AI Revolution: From Problems to Solutions

38:32 • 5min

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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