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Making the hybrid AI estate a source of proprietary intelligence and better economics.
The AI landscape has evolved so rapidly that enterprise adoption has often 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 retaining ownership of the data, feedback and evaluation assets generated through use, so that learning compounds within the enterprise rather than outside it. Done well, this approach builds proprietary intelligence, improves 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, 3 September 2026
Time: 5:30 - 9:00pm AEST
Location: Melbourne CBD (to be confirmed upon registration)
Places are limited and this event is in high demand. Register your interest and we’ll be in touch to confirm if we can accommodate you on this occasion.
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.
Mara Cajar-Robinson
Director, APAC, AI Strategy and Transformation, Thoughtworks
Mara helps leaders understand how AI is changing the way enterprises create, deliver and capture value. Her work sits at the intersection of business strategy, platform transformation and emerging technology, with a focus on how organisations redesign experiences, operating models and ecosystems for an AI-enabled future.
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