Creating more adaptable and intelligent systems to adapt to complex environments

June 10 - 11, 2025 | Free PEX Network Webinar Series

Deji Adedayo

Intelligent Automation Lead and Product Owner (North America) Gordon Food Service

Deji Adedayo is a distinguished Lean Six Sigma Black belt and an expert in Intelligent Automation and Robotic Process Automation (RPA). With a profound commitment to optimizing processes and enhancing efficiency, Deji has spearheaded numerous transformative projects across various industries, demonstrating a unique blend of technical acumen and strategic insight. Beyond his professional expertise, Deji is a devote husband and proud father of two girls, who finds joy in the balance of family life and professional ambition. His passion for technology extends into his personal life where he enjoys video gaming, with favorites like Ghost Recon and The Division. An avid Formula 1 enthusiast and photography aficionado, Deji captures the world's intrinsic beauty through his lens, mirroring his approach to simplifying complex processes in his professional life. Living by the motto "If you can't fly, run. If you can't run, walk. If you can't walk, crawl. By all means keep moving," Deji embodies resilience and continuous improvement. His dedication to moving forward, regardless of obstacles, resonates in his professional achievements and daily life.

Day 2 – 19 June

11:00 AM PANEL – Seeking harmony: Overcoming automation silos for unified success

Discover how dismantling automation silos can significantly enhance efficiency and foster innovation across your organization. In this discussion, practitioners with years of experience will dive into strategies for integrating intelligent automation and RPA seamlessly within your process frameworks.

Key highlights:

  • Align automation across departments for increased synergy.
  • Foster transparency and teamwork between isolated teams.
  • Gain insight from successful breakdowns of automation silos.
  • Stay ahead with an evolving, integrated automation approach.