Mapping complex ecosystems with AI-curated data
In this session, local entrepreneur Dr Mat McGann will share how AI is being used to map complex ecosystems like innovation networks, policy impact, supply chains, or market landscapes.
Done right, these maps can become exhaustive, fully referenced and not just kept up-to-date but set up to be compounding knowledge assets that get better over time.
He’ll unpack, using real examples, what can be automated, what still needs human input, and how to design AI data pipelines that are trustworthy, explainable, and fit for public or private sector needs.
Attendees will walk away with a grounded understanding of:
Where AI adds real value in knowledge workflows (and where it doesn’t)
What novel kinds of insights are possible by integrating AI into data flows
Practical design choices in AI data pipelines
How verified intelligence can become a shared, reusable asset—not just a one-time answer
Dr Mat McGann is the CEO and founder of Horiz-in, a Canberran company that has provided knowledge assets to industry and government for over a decade. Mathew holds a PhD in theoretical physics from the Australian National University, where he later worked across academic, industry, and government partnerships through ANU Enterprise. Over a decade ago, he co-founded Health Horizon, a platform that tracked the development of health innovations in real time—serving both life sciences companies and government agencies.
Drawing on this experience and the latest advances in AI, Mat developed Horiz-in: a new technology designed to map, consolidate, and track complex ecosystems in real time. Whether it’s innovations, capabilities, supply chains, or strategic impact, Horiz-in builds verified, living knowledge assets that help organisations see clearly and act quickly.
Note
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