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Conferences / CDAO (Chief Data & Analytics Officer) Summits

CDAIO New Zealand 2026

Oct 19–20, 2026 · Grand Millennium Auckland, Auckland, New Zealand

Conference
CDAO (Chief Data & Analytics Officer) Summits Vendor & industry
Dates
Oct 19, 2026 – Oct 20, 2026
Venue
Grand Millennium Auckland
Place
Auckland, New Zealand
Format
In person
Status
Past
Attendance
—
Website
cdaio-nz.coriniumintelligence.com
Recorded
14 sponsors · 48 speaker appearances
Notes
Formerly CDAO New Zealand (cdao-nz.coriniumintelligence.com); 2026 is the first edition under the CDAIO name. Dates from the home page ('19-20 October 2026, Auckland'). Sponsors: 'Our 2026 partners' wall (logo alt text), each company once at its highest band. Prices in NZD.

Ticket prices

TicketPriceValid untilNotesSource
End-User RegistrationNZ$2,499—web.archive.org
Vendor RegistrationNZ$3,599—web.archive.org

Sponsors 14

Title / headline 2

Gold 5

Silver 2

Community 1

Media 3

Other 1

Speakers and talks 48

SpeakerCompanyRoleTalkLinks
Bill MosesNew Zealand Qualifications Authority | Mana Tohu Mātauranga o AotearoaKeynoteSame Fundamentals, New Scale: Decision-Making in the Age of AI—
Mike ParsonsAir New ZealandKeynoteAI Isn’t Free: Understanding the New Cost Drivers of Intelligence—
Vipin KumarNew Zealand Qualifications Authority | Mana Tohu Mātauranga o AotearoaKeynoteSame Fundamentals, New Scale: Decision-Making in the Age of AI—
Amanda WhiteOpen Country DairyPanelistThe Economics of AI – Cost, Consumption and Control at Scale—
Analytics Manager(moderator)PanelistWhy Data Culture Programmes Fail and What Actually Changes Behaviour—
Andrew ParkinsonAuckland CouncilSpeakerNo Pilots Left Behind: Auckland Council’s Value Driven AI Roadmap—
David IreckiBoomiSpeakerBeyond Data Readiness: The Infrastructure That Turns AI Into Governed Action—
David ThomasNZ PostSpeakerWhat Comes Next? Sustaining a Strong Data Community and Defining the Next Strategy—
Etza LukmantoSkyCitySpeakerTrusted Data: Why Quality Still Breaks Everything and How to Fix It—
Fiona ThomsonNew Zealand Trade & EnterprisePanelistWhen AI Starts Giving the Wrong Answers — How Do You Stay in Control and Protect Your Outcomes?—
Graeme JacksonVectorPanelistHave We Over-Engineered Data? Rethinking What “Good” Looks Like—
Gurbani SinghKiwibankSpeaker——
Jeff SmithNew Zealand CouriersSpeaker——
Jenny KimPartners LifeSpeaker——
Jenny Kim,Partners LifePanelistHave We Over-Engineered Data? Rethinking What “Good” Looks Like—
Jeremy AppleyardPreciselySpeakerAI Doesn't Know When It's Wrong: Here's How You Can—
John LewisAA InsuranceSpeaker——
Jordan CunninghamSharesiesPanelistWhen AI Starts Giving the Wrong Answers — How Do You Stay in Control and Protect Your Outcomes?—
Joseph SullivanInformaticaSpeakerBeyond the Hype - How to Build the Foundation that Powers AI Success—
Kari JonesFinancial Markets Authority – Te Mana Tātai HokohokoSpeakerWho Controls AI? Regulation Meets Sovereignty—
Kate KolichContact Energy LtdSpeakerScaling AI: From Experimentation to Enterprise Impact—
Kathryn ByrneWoolworths GroupPanelistWhy Data Culture Programmes Fail and What Actually Changes Behaviour—
Kenny TheinRestaurant Brands LimitedPanelistIs Our Data Ready for AI or Are We Building on Fragile Foundations?—
Macushla HowellNZ PostSpeakerPlatform Transformation to Enable Value: Data Engineering, Governance and Architecture Walk Into a Bar, What Happened Next?—
Manvi MadanSkyCitySpeakerBuilding AI Infrastructure That Scales: From Shadow AI to Orchestrated Adoption—
Matt BainSparkPanelistThe Economics of AI – Cost, Consumption and Control at Scale—
Michelle ThompsonZ EnergyPanelistWhy Data Culture Programmes Fail and What Actually Changes Behaviour—
Mike CongdonSouthern Cross HealthcareSpeaker——
Mike RankinTSB New ZealandSpeakerBeyond Policies: Building Scalable AI Governance That Drives Trust and Innovation—
Mira BradshawActon International MarketingPanelistIs Our Data Ready for AI or Are We Building on Fragile Foundations?—
Nastassia SubritzkyMitre 10PanelistIs Our Data Ready for AI or Are We Building on Fragile Foundations?—
National Data(moderator)PanelistWhy Data Culture Programmes Fail and What Actually Changes Behaviour—
Paul SadlerFirn AnalyticsSpeakerFrom Proliferation to Control: Managing ‘Agent Sprawl’ in the Enterprise AI Era—
Peter GavinNew Zealand Trade & EnterpriseSpeakerTrusted Data: Why Quality Still Breaks Everything and How to Fix It—
Peter McCallumThe Warehouse GroupSpeakerFrom Centralised to Federated: Designing Data & AI Operating Models That Work—
Rachel HarrisonASB BankPanelistWhen AI Starts Giving the Wrong Answers — How Do You Stay in Control and Protect Your Outcomes?—
Sam GrahamMy Food BagPanelistIs Our Data Ready for AI or Are We Building on Fragile Foundations?—
Sam HamblingLes Mills InternationalPanelistWhen AI Starts Giving the Wrong Answers — How Do You Stay in Control and Protect Your Outcomes?—
Sarah CawseyAuckland CouncilSpeakerNo Pilots Left Behind: Auckland Council’s Value Driven AI Roadmap—
Sean NarayanBidfood New ZealandSpeakerSignal Versus Noise: What it Takes to Drive Real Enterprise Transformation—
Sonia Carter-AmaniSkyCitySpeakerTrusted Data: Why Quality Still Breaks Everything and How to Fix It—
Sonny TaiteTe Whatu Ora (Health NZ)Speaker——
Sonya CrosbyQBE InsuranceSpeakerWhat Comes Next? Sustaining a Strong Data Community and Defining the Next Strategy—
Te Whatu OraData & AnalyticsPanelistHave We Over-Engineered Data? Rethinking What “Good” Looks Like—
Tom LinternNZ PostSpeakerPlatform Transformation to Enable Value: Data Engineering, Governance and Architecture Walk Into a Bar, What Happened Next?—
Vector LimitedDirector Innovation and AIPanelistHave We Over-Engineered Data? Rethinking What “Good” Looks Like—
Warren VellaKongSpeakerFrom API to AI: It Was Never Just About APIs—
Xanthe SulzbergerFonterraChairWelcome from Corinium and the Chairperson—

Sources