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Why Most Enterprise AI Projects Fail with Tugba Halici Soner

10.11.2026
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Why Most Enterprise AI Projects Fail with Tugba Halici Soner

With Tom Stroud & Sye Rahman
Nov 10, 2026

What’s in this episode?

In this episode of GCC Tech Talks, ⁠Tom Stroud⁠ and Sye Rahman sit down with Tugba Halici Soner , our first guest of the season. She's a mathematician turned CTO, now leading technology strategy in the precious metals industry, with a background in agentic AI, cloud delivery, and enterprise digital transformation.
This one is a deep dive into the realities of scaling enterprise technology and AI. We explore legacy modernisation, the unpredictable risks of LLMs, and why getting AI into the business is only half the battle.

We cover:

  • Why modernisation must come before AI
  • Escaping monolithic legacy systems and moving to AI-native architecture
  • Why stochastic LLMs frustrate businesses, and how poorly managed models quickly erode trust
  • Why AI adoption is failing in so many enterprises
  • An ML success story in global supply chains
  • Why AI sales agents are ruining customer experience
  • Big corporate culture vs. fast-paced environments
  • In-house innovation vs. vendor management

Join us to hear about modernising before you automate, managing LLM risk, building AI-native architecture, and how enterprises can adopt AI without losing their customers' trust.

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Latest podcasts

Why Most Enterprise AI Projects Fail with Tugba Halici Soner

With Tom Stroud & Sye Rahman
Nov 10, 2026
Read more