In this episode of Behind the Growth, host Imran Mian interviews Fatih Nayebi, Vice President of Data and AI at the ALDO Group. Fatih shares his journey from a technology enthusiast in his childhood to leading AI-driven projects in the retail industry. He highlights his early fascination with computers and AI, and how this passion led him to pursue advanced studies and a career in machine learning and data science.

Fatih discusses the significant challenges he has faced in implementing AI solutions, particularly in traditional and slow-paced environments. He emphasizes the importance of starting with small, impactful projects to demonstrate AI's potential and gradually overcoming resistance. Fatih also addresses the common issue of poor data quality and the necessity of having well-structured historical data for successful AI applications.

Looking ahead, Fatih explores future trends in AI, including generative AI and causal inference. He shares insights on how AI can be used for demand forecasting, markdown optimization, and enhancing customer experiences. Additionally, he touches on the importance of ethical AI practices, transparency, and the role of explainable AI in ensuring fair and accountable decision-making processes.

Key Highlights:
- High-quality historical data is crucial for AI success
- Start with small impactful AI projects to demonstrate potential
- Transparency and ethical practices in AI are essential
- Tailor agile methods for AI, balancing research with deadlines
- Prioritize AI projects by business value, data quality, and feasibility

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