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Peter Deans
CEO and Co-Founder
Shelf Labs
Peter Deans is the CEO and Co-Founder of Shelf Labs and an industry-leading strategy and risk management advisor. Peter works with a range of startups, fintechs and established businesses. Peter is a former Chief Risk Officer and retired from executive life in 2019, after a finance career of over 32 years.
Peter is also Non-Executive Director of NerdWallet Australia and Trade for Good.
Peter is also the creator of the 52 Risks management framework and author of the book released in December 2024, Startup Toolkit: A Step-by-Step Guide for Founders.
Speaking at
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3:00–4:15pmTue 24 MarPublic-Private RoundtablesUniClub - Roundtable Room 1OpenModerator
Roadmap for AI and Quantum
[Roundtable] What Works in AI Delivery? Successes, Failures, & Solutions that Scale
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Brad HillCo-GMPollinators
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Dr. Brindha JeyaramanFounder and Chief Executive OfficerAethryx
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Prof. Damminda AlahakoonProfessor of Business Analytics and Artificial IntelligenceLa Trobe University
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Prof. Fiona WoodDirector of the Burns Service of WAFiona Wood Foundation
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Iqbal JumabhoyChief Executive OfficerEdge Capital Pte Ltd
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Prof. James OngFounder & Managing DirectorArtificial Intelligence International Institute (AIII)
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Jisoo KimCo-Founder and DirectorClearAI
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Schellie-Jayne (SJ) PricePartnerStirling & Rose
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Shane PlantChief Commercial OfficerIMDEX
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Prof. Wei LiuAssociate ProfessorUniversity of Western Australia
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Peter DeansCEO and Co-FounderShelf LabsModerator
About this session
AI is already improving productivity, safety and customer outcomes — but results vary widely. Some deployments deliver measurable gains; others stall because the basics aren’t in place: weak data foundations, no clear owner, gaps in governance, security exposure, missing talent, hidden costs — and a failure to treat AI as operational infrastructure, not a plug-in tool.
This roundtable moves beyond “what is AI?” and focuses on what works—and what doesn’t—when organisations deploy AI responsibly at scale. Leaders from banking, mining, healthcare, government and startups will share real examples: what they shipped, what got stuck, what made it succeed, and the lessons learned the hard way. -
