Podmas Day 8 - Why do AI projects fail?

In this episode of NatChat Ihab El Ghazzawi from Dell Technologies explores a critical question: Why do AI projects fail? Drawing on years of experience across industries, Ihab shares insights into the common pitfalls organisations face when moving from proof of concept to full-scale deployment.

Together we unpack the top three reasons AI projects stumble: 

• Data challenges – from discovery and preparation to governance and security.
• Lack of adoption – overcoming resistance and building a culture of responsible AI.
• Scalability issues – planning for growth without blowing the budget

This episode also covers the Practical solutions for tackling these hurdles, including strong governance, training, and modular architectures. Ihab talks us through Dell’s five core AI beliefs, such as bringing AI to your data, avoiding one-size-fits-all approaches, and leveraging an open ecosystem.

If you’re planning an AI initiative, this episode is packed with actionable advice to help you avoid costly mistakes and set your project up for success. When looking at support for your project don't forget to take advantage of Natilik's AI readiness workshop here.