Keynote Panel: The quest for sovereign AI meets the edge-cloud infrastructure battle

In a world where AI is hungry for data and power, organizations face a double challenge: how to safeguard sensitive information with sovereign AI and select the right infrastructure between edge and cloud. Sovereign AI promises control, compliance, and resilience, freeing enterprises from single-cloud dependency, whilst the infrastructure debate pits low-latency, privacy-focused edge solutions against the scalability of centralized cloud models. This dynamic panel unpacks the good, the bad, and the ugly of making sovereign AI a reality alongside the edge vs. cloud conundrum. It covers:  

• How sovereign AI frameworks can ensure data privacy and regulatory compliance without sacrificing innovation  

• The trade-offs between edge computing’s speed and privacy benefits versus cloud’s scalability and raw power  

• Hybrid approaches that blend edge and cloud to optimize performance, cost, and security  

• Industry-specific infrastructure needs—from split-second decisions in autonomous vehicles to large-scale enterprise AI workloads  

• The geopolitical and supply chain implications of choosing cloud vendors or building edge ecosystems