AI is helping businesses improve efficiency, innovate faster and make smarter decisions. But without the right infrastructure in place, realising its full potential can be difficult.
In our new webinar, experts from Telehouse unpack findings from new global research by S&P Global Market Intelligence 451 Research, commissioned by Telehouse, revealing how more than 900 senior IT leaders are approaching AI workloads – and what’s holding them back.
Watch now to explore the key infrastructure decisions shaping AI success in 2025 and beyond.

Click to play video
Part 1 – Navigating the challenges and opportunities of AI workload deployment
How AI projects are split across public cloud, on‑premise data centres, third‑party colocations and specialist GPU clouds
Why more than 90 % of respondents view direct, high‑bandwidth cloud on‑ramps as essential for AI/ML architecture
The role of skills, network/fibre connectivity and GPU-based infrastructure availability in venue selection.
Milad Abdelmessih<br>Vice President, Telehouse America
Milad Abdelmessih
Vice President, Telehouse America
Click to play video
Part 2 – Panel discussion: Seeking out data centre services to fuel the AI journey
Advice on selecting the right colocation partner to support AI/ML demands
Views from industry leaders in North America, Europe and Asia on the role of infrastructure in accelerating AI adoption strategies for tackling latency, bandwidth and proximity issues
Key questions to ask when short‑listing colocation partners for AI workloads.
Andrew Fenton
Andrew Fenton
VP, Sales and Marketing
Telehouse Canada
Ken Miyashita
Ken Miyashita
Managing Director
Telehouse Thailand
Sami Slim
Sami Slim
CEO
Telehouse France

Interested in understanding AI’s impact on infrastructure planning and data movement? This detailed report covers the key considerations for infrastructure planning and data movement from model retraining frequency to networking bottlenecks. Gain insights on how organisations are balancing performance, cost, and compliance as AI workloads mature.

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