Summary

In this conversation, Mostafa Daoud and Patrick Soch discuss the complexities and challenges of implementing AI in business.

They explore the importance of understanding ROI, the dangers of applying AI to broken processes, and the necessity of data quality and integration.

The discussion emphasizes the need for clear objectives and metrics when investing in AI, as well as the long-term impact of these technologies on business strategy.

Takeaways

- AI is enabling us to do a lot.

- Companies get bamboozled by AI hype.

- Garbage in, garbage out with AI.

- AI should not replace broken processes.

- You need a real business use case for AI.

- Data quality is a huge problem for AI.

- AI is not a magic wand.

- You need to understand your processes well.

- Investing in AI requires realistic expectations.

- The future of AI is about optimization.

Chapters

00:00 Weather Talk and AI Introduction

03:06 The Hype and Reality of AI Investments

05:57 Challenges of Implementing AI in Business

08:42 Data Quality and Infrastructure Issues

11:44 The Importance of Use Cases in AI

14:42 Optimizing Processes Before AI Implementation

17:43 Emerging Technologies and Standards in AI

20:42 The Future of AI and Energy Needs

23:54 Real-World Applications of AI

26:36 Balancing AI Adoption and Human Input

29:36 Defining Objectives for AI Integration

32:31 The Long-Term Impact of AI on Business

35:15 Final Thoughts on AI Investments

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https://www.linkedin.com/in/mostafa-daoud/

https://www.linkedin.com/in/psoch/