Thinking built in the engine room.
Practical perspectives on AI engineering, data infrastructure, and system modernisation from practitioners working inside regulated industries every day.
Get an expert perspectiveWhy most enterprise AI fails below the application layer
The application is rarely where AI projects die. The failure happens earlier — in the data layer, the integration points, and the absence of a governed inference pipeline.
Read articleQubiz Hackathon Win: AI-Driven Trust in E-Commerce
Our team built a real-time fraud-signal layer that reduced false positives by 34% during the 48-hour sprint. Here's what we learned about speed and production readiness.
Shaping the Care Workforce of 2030: Insights from Our Webinar
Regulators, technologists and care leaders joined us to discuss how AI-assisted scheduling and outcomes monitoring will reshape frontline care.
The hidden cost of a fragmented data estate
When four systems each hold part of the truth, no one holds all of it. We mapped the compounding costs of data silos across ten regulated enterprise clients.
From monolith to multi-tenant: lessons from Carradale's SOPHIA platform
Rebuilding a clinical workflow system that serves 40 organisations taught us everything about multi-tenancy, data isolation, and deployment ergonomics.
Predictive underwriting: how ML is rewriting insurance risk models
Actuarial tables are a starting point, not an endpoint. We embedded gradient-boosted models directly into the underwriting workflow — and loss ratios dropped 22%.
Where we'll be next.
Workshops, panels and webinars hosted by Qubiz engineers and the leaders we build alongside.
AI in Regulated Healthcare: Where the Evidence Stands
A practitioner panel on deploying clinical AI under the EU AI Act and MDR — what's working, what's failing audit, and what patient outcomes look like 18 months in.
RegisterData Platforms Forum: Lakehouse Architectures in Production
A working session for engineering leaders on running Iceberg, Delta and Hudi at enterprise scale — including governance, cost control and migration paths.
RegisterModernisation Masterclass: Strangling the Monolith
A hands-on workshop covering incremental decomposition strategies, anti-corruption layers, and how to keep the business running while you re-platform.
RegisterShaping the Care Workforce of 2030
Regulators, technologists and care leaders explored how AI-assisted scheduling and outcomes monitoring will reshape frontline care.
Watch the recapQubiz Engineering Hackathon: AI-Driven Trust
Forty-eight hours, twelve teams, and a real-time fraud-signal layer that cut false positives by 34% — relive the build with our judges' notes.
Watch the recapLet's find your
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