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Technology Exchange:
The strategic hybrid AI estate

October 29 | Sydney, Australia

Designing the hybrid AI estate to build proprietary intelligence and improve 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.

This Technecology Exchange will 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.

Event details

Date: Thursday, 29 October 2026

Time: 5:30 - 9:00pm AEST

Location: Sydney CBD (to be confirmed upon registration)

Speakers

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.