The AI‑Ready Enterprise

Overview

Artificial intelligence is rapidly moving from experimentation to enterprise expectation. Across many organisations, however, AI ambition is advancing faster than the underlying architecture required to support it. While significant investment has been made in infrastructure and cloud platforms, many environments remain fragmented, cost-inefficient, or not yet optimised for data-driven workloads at scale. For many, this begins with large open‑source workloads (Linux, PostgreSQL, and other critical systems) that were never designed for AI.

For technology leaders, the challenge is no longer whether to adopt AI, but whether their current digital estate is capable of sustaining it. This includes migrating and modernising on‑premises platforms into Azure, addressing data fragmentation, and ensuring that infrastructure, cost models, and governance frameworks are aligned to support long‑term innovation.

This roundtable will explore how organisations are modernising on Azure, and harnessing cost-effective open source solutions to move beyond pilot‑stage AI and build scalable, production‑ready digital foundations.

Discussion Points

1. From On‑Prem to AI Readiness

How organisations are assessing and accelerating the move from legacy Linux platforms and PostgreSQL environments to Azure, and how this enables rapid AI uplift and data‑intensive workloads at scale.

2. Modernising Without Disruption

Balancing migration and transformation with operational continuity, particularly in complex or regulated environments.

3. Data Foundations for Scalable AI

Addressing fragmentation, accessibility, and governance challenges as data moves from on‑prem to cloud, and preparing for integrated analytics and AI workloads.

4. Cost, Performance and Architectural Trade‑offs

Understanding how infrastructure and migration decisions impact both financial models and future AI scalability.

5. Moving from Pilot to Production

Overcoming the organisational, cost and technical barriers that prevent AI initiatives from delivering enterprise‑wide value.

What to expect

• Hours
• Discussions Interactive
• Senior Executives 10+

Agenda

• 11:45 am Delegate arrival & registration(Executive Luncheon) Welcome on arrival. Enjoy a moment to connect informally with fellow attendees before the session begins.
• 0:00 pm Welcome drinks & refreshments(Executive Luncheon) Networking break with light refreshments as we prepare for the session ahead.
• 0:15 pm Opening remarks(Executive Luncheon) An introduction to today’s topic and discussion focus.
• 0:30 pm Interactive discussions(Executive Luncheon) Facilitated peer-to-peer conversation covering the following key discussion points: · From On-Prem to AI Readiness: Understanding how legacy infrastructure is shaping AI capability and slowing transformation. · Modernising Without Disruption: Balancing migration, transformation, and operational continuity. · Data Foundations for Scalable AI: Addressing fragmentation, governance, and accessibility challenges. · Cost, Performance and Architectural Trade-offs: Navigating financial and technical decisions in an AI-driven future.
• 1:45 pm Closing remarks(Executive Luncheon) A brief summary of key takeaways and insights shared during the discussion.
• 1:50 pm Networking drinks & end of session(Executive Luncheon) An opportunity to continue conversations in an informal setting to wrap up the session.

Partners

• LAB3

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