Welcome to the #AIIA Summit 2025!

Join Professor Alan F Harrison and AI for the #AIIA Summit 2025, a unique opportunity to deepen your understanding of AI developments and network with industry leaders. This summit is tailored for AI executives seeking to navigate the evolving landscape of artificial intelligence.   

EUROPE’S LEADING EVENT FOR
BUILDING, SCALING AND SECURING
ENTERPRISE AI SYSTEMS

 

The subsequent visuals are not from the conference website. The text has been created by internal AI.

Understanding AI Developments

Our main goal is for attendees to leave with a better understanding of the latest AI developments. We aim to provide clarity and insights into the complex world of AI, presented in a way that's accessible even for the 'non-very-serious reader'.

For Ai Executives

The #AIIA Summit 2025 is specifically designed for AI executives. We are bringing together thought leaders, decision-makers, and innovators to explore the future of AI and its impact on businesses worldwide.

A Unique Opportunity

What sets the #AIIA Summit 2025 apart? It's a unique opportunity for solution providers to position themselves as critical partners for enterprises investing in AI. Connect with top decision-makers, expand your network, and showcase your expertise in helping organisations scale their AI infrastructure and integrate custom AI models.

Join the Summit

Don't miss this chance to be part of the Alan F Harrison and AI #AIIA Summit 2025. It's more than just an event; it's a platform for collaboration, learning, and shaping the future of AI.

 

PRESENTATION


Full-Stack AI Infrastructure Built To Scale Exponentially


Infrastructure teams must move beyond patchwork solutions and design integrated, full-stack
platforms purpose built for scale.

 

This session explores how leading enterprises are seeking
to architect a comprehensive, total infrastructure ecosystem that aligns hardware, software,
and operational layers - from GPUs and networking to orchestration tools and model lifecycle
management.

 

Building high-performance, scalable foundations that enable AI innovation without
sacrificing reliability or control.

 

  1. Core components of a scalable AI infrastructure stack: compute, storage, and orchestration
  3. Integrating ML frameworks, pipelines, and developer tooling into infrastructure design
    • Strategies to support flexibility, performance, and cost-efficiency at scale
    • Avoiding bottlenecks and rework: aligning architecture to long-term AI roadmaps
    Session Available For Sponsorship