AI Grid, Telco Cloud and Edge Computing

Workshop: The Future of Edge Computing – From Telco Edge to Hybrid Cloud and AI GridOver the past 10 years since I published my first market report on edge computing, this technology has evolved from a relatively obscure niche into one of the industry’s most hyped buzzwords. What began as a mobile-only concept has grown into a sophisticated, multi-domain field spanning IT, telecommunications, industrial operations, and cloud environments.With 12 years of hands-on experience — first as an analyst, then as a developer and network operator at Telefónica and Bell Canada — I’ve witnessed the industry’s perception of edge computing swing dramatically between skepticism and over-enthusiasm.Today, the vision of telecom operators deploying a truly decentralized computing fabric across their radio access networks is gaining real traction, fueled by Open RAN, Service-Based Architecture, network slicing, and disaggregated packet cores. The central question has now expanded:Can service providers successfully abstract this decentralized infrastructure into a coherent, easy-to-program “data center as a service” model — and evolve it into a full-scale AI Grid capable of orchestrating real-time AI inference across thousands of distributed sites?Workshop OverviewThis interactive workshop explores the rapid evolution of edge computing as it shifts from a pure telco play toward a hybrid cloud model, now accelerated by the entrance of hyperscalers and the emergence of AI Grid architectures.Format: 3 to 5 hours of highly interactive content (ideal for in-person or virtual delivery)Key Topics Covered

• Edge Computing Defined – Cutting through the hype with clear, practical foundations
• Where Are the Edges? – Mapping the different tiers, from device to regional to far-edge
• Telco Edge vs Hyperscaler Edge – Comparative strengths, weaknesses, and competitive dynamics
• The Rise of AI Grid – How telcos are transforming their networks into distributed, orchestrated AI infrastructure (NVIDIA AI Grid reference architecture and similar approaches)
• Key Benefits and Challenges – Realistic assessment of what edge computing and AI Grid deliver today
• Use Cases Review – Internal telco operations, B2C, B2B, and B2B2X scenarios, with special focus on real-time AI inference
• Business Models – Creating sustainable value and new revenue streams through AI Grid services
• Technology and Standards – Current landscape, orchestration tools, and emerging frameworks
• Strategies of Major Players – Approaches from vendors, operators, hyperscalers, and platform providers building or leveraging AI Grids
• The 4 Strategic Questions every organization must answer:
  What to deploy | Where to deploy it | When to move | How to monetize (including AI services)

This workshop is designed for telecom professionals, cloud strategists, industry executives, and technology leaders who need a pragmatic, experience-based understanding of edge computing’s current state, its convergence with hyperscale cloud, and the transformative potential of AI Grid architectures.Details, customization options, and conditions available upon request.