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Technology Exchange:
The strategic hybrid AI estate

September 3 | Melbourne, Australia

Making the hybrid AI estate a source of proprietary intelligence and better economics

The AI landscape has evolved so rapidly that enterprise adoption has taken shape incrementally, model by model and team by team. With model performance, pricing and availability continually shifting, managing AI as a portfolio has become a strategic imperative.

Central to this is the learning loop generated through enterprise AI use: the data, feedback and evaluation assets that shape how AI systems improve over time. Retaining ownership and governance of that learning loop helps ensure intelligence compounds within the enterprise rather than outside it.

Done well, this approach builds proprietary intelligence, improves token unit economics and gives enterprises greater control over how their estate evolves.

Join leaders from REA Group, Thoughtworks and industry to explore the critical choices shaping the hybrid AI estate:

Where frontier capability creates genuine advantage and where it is over-engineered.
Where specialist intelligence must be owned to build defensible value.
How to protect the learning generated through enterprise AI use.
How to balance performance, flexibility and cost as the model landscape shifts.

Melbourne

Date: Thursday, September 3, 2026

Time: 5:30 - 9:00pm AEST

Location: Melbourne CBD (to be confirmed upon registration)

This event has now reached capacity. Please register your interest to join the wait list.

Speakers

Evan Bottcher

Chief Architect, REA Group

Working where large-scale systems, data and AI meet real-world constraints, Evan offers practical insight into how architecture must evolve as AI-enabled systems become more autonomous and business-critical. His perspective is grounded in what breaks at scale, what needs to be governed, and what must be in place for AI systems to remain reliable, observable and safe.

Andy Nolan

Global Vice President of AI Factory, Thoughtworks

Andy helps enterprises move AI from experimentation into reliable, production-scale capability. Through Thoughtworks’ AI Factory, he focuses on the strategic and engineering choices needed to scale AI safely and economically, including agentic AI, AI-ready data foundations, model selection, managed inference, GPU infrastructure and governance.

Luke Gerner

Principal Product & Experience Strategist | Director of Product - AI Factory, Thoughtworks

In the role of Director of Product for AI Factory, Luke helps shape product portfolio and roadmap. He's focused on enabling customer success for our clients, with a clear goal to ensure the value generated from client investment in AI scales disproportionately in relation to their spend, engagement, adoption and enablement built into the product rather than bolted on after the fact.