Fatih Nayebi serves as the Vice President of Data & AI at ALDO Group and is a Faculty Lecturer at McGill University. At ALDO, he leads the enterprise Data, Analytics, and AI Office, driving data science and machine learning initiatives that transform business insights into strategic advantages. His leadership ensures that ALDO remains at the forefront of Data and AI innovation in the retail sector.
In addition to his corporate role, Fatih is a lecturer at McGill’s Desautels Faculty of Management, where he teaches enterprise data science, machine learning in production, and deep learning courses. His unique blend of industry expertise and academic insight provides students with practical skills and innovative strategies that empower the next generation of data scientists.
Fatih’s accomplishments also include authoring several books on programming and being a sought-after speaker at global conferences. Outside the data realm, he enjoys playing guitar, strategizing in chess, and spending time with his children. Expect a session filled with actionable insights, technical expertise, and a forward-looking perspective on data and AI’s transformative potential.
Day 1: Jun 4, 2025
9:00 am
9:00 am
C-Suite PANEL
DeepSeek and the Rise of Agentic AI: Redefining Autonomy in Artificial Intelligence
Argentic AI offers a transformative approach to leveraging big data, enabling organizations to tackle complex challenges and enhance decision-making. Take back to your team strategies to:
- Adopt Argentic AI that will seamlessly integrate with analytics and big data to create flexible, scalable solutions. Build successful projects that blend data, AI agents, and analytics.
- Evaluate and enhance the flexibility of your analytics infrastructure for AI implementation
- Address data imperfections with Argentic AI to improve data quality and outcomes
- Position and structure data teams to drive success in projects that combine big data, analytics, and AI
Unlock the potential of Argentic AI to create smarter, more resilient data ecosystems and achieve breakthrough results.
Day 2: Jun 5, 2025
