29 September - 1 October 2026
|
The Arena, Riyadh | Saudi Arabia.
Dr. Alejandro Canonero
AI Ecosystem Leader - Tik Tok ByTePlus ByteDance
Dr. Alejandro Canonero, PhD, MBA, is an internationally recognised Ecosystem Strategist, Author, and Executive Advisor in AI, cloud, and digital transformation, specialising in the architecture and commercialization of intelligent learning ecosystems. He has more than three decades of strategic leadership with global technology pioneers including AWS, Google Cloud, HP, Dell, and Teradata, where he architected alliance, go-to-market, and partner ecosystem strategies that accelerated global growth, innovation adoption, and platform leadership.
Dr. Canonero is the Ecosystmes Leader for BytePlus the Enterprise Tech Arm of TIk Tok & Founder of Ecosystem Strategy Services, a Dubai-based advisory firm that helps governments and education innovators harness AI, data, and platform dynamics to drive measurable learning outcomes. His frameworks merge academic research with practical execution to help organisations pivot from legacy systems to scalable, learner-centric models.
He is the author of War of the Ecosystems: Strategies for Dominating AI, Cloud, and SaaS Platform Businesses, a globally adopted curriculum in executive and university programmes. Dr. Canonero’s work intersects education transformation, AI strategy, and ecosystem governance, empowering leaders to align digital innovation with mission-critical goals.
Speaker Sessions
EdTech In Action
1526
-
From AI Adoption to AI Advantage How Orchestrated Education Ecosystems Deliver Measurable Learning Outcomes
Session Summary:
Across education systems globally, AI investments are accelerating, yet outcomes remain uneven. The core challenge is not access to technology, but the absence of orchestrated ecosystems that align policy, platforms, institutions, educators, and learners around shared objectives. This session will introduce a practical, results-driven framework for moving from fragmented AI adoption to AI advantage in education. Understand why countries and institutions that focus solely on tools fail to scale impact, while those that design ecosystems succeed. The presentation reframes AI in education as an ecosystem design problem, not a technology problem. It explores how data flows, governance models, partner incentives, and human capability development must be intentionally aligned to deliver outcomes such as improved learner performance, teacher augmentation, institutional efficiency, and workforce readiness. Grounded in real-world cases and aligned with Saudi Vision 2030, the session provides education leaders with a clear blueprint to design AI-enabled learning ecosystems that move beyond experimentation and produce tangible, measurable results today.