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Dr. Brindha Jeyaraman
Founder and Chief Executive Officer
Aethryx
Dr. Brindha Jeyaraman is the Founder and CEO of Aethryx, a company building governance and control infrastructure for enterprise and agentic AI systems. She has over 19 years of experience architecting large-scale AI, data, and distributed systems across finance and technology sectors.
Previously, she held senior AI leadership roles at global technology and financial institutions, where she led initiatives in AI engineering, machine learning platforms, and responsible AI governance. Her current work focuses on translating AI policy into executable controls, enabling organizations to deploy AI systems safely, transparently, and at scale.
Dr. Brindha holds a Doctorate in Engineering from Singapore Management University, specializing in temporal knowledge graphs and AI systems for financial applications. She is also the author of several books on machine learning, data streaming, and observability, and is a frequent speaker on AI governance, agentic AI, and enterprise AI architecture.
Speaking at
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3:00–4:15pmTue 24 MarPublic-Private RoundtablesUniClub - Roundtable Room 1Open
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. -
