Chris Henry
Technology Executive & Enterprise AI Strategist
Chris Henry is a technology executive with decades of experience spanning enterprise architecture, healthcare technology, data and AI. He helps organisations bridge the gap between emerging technologies and real-world business outcomes, with a focus on building practical, resilient systems that are ready for production.
Today, Chris advises organisations on AI architecture and enterprise technology strategy, drawing on years of experience leading technology teams and delivering complex software systems across regulated industries.
Upcoming conference sessions featuring Chris Henry
The Model Is Not the Product: What a Breast Cancer Lab Workflow Taught Me About AI Architecture
We often design AI systems assuming the model itself is the main differentiator. But what happens when your model reaches 62% accuracy in a workflow that requires over 99%?
And more importantly, what happens when the solution has nothing to do with improving the model?
This session explores lessons learned from real-world diagnostic and clinical software systems, where performance, reliability, and clinical constraints redefine what “good enough” means.
It challenges the model-centric view of AI systems and shifts the focus toward architecture, workflows, and system design as the true drivers of value.
A practical reflection on building AI systems in high-stakes environments where accuracy is not optional.
Get conference pass
The Model Is Not the Product: What a Breast Cancer Lab Workflow Taught Me About AI Architecture
We often design AI systems assuming the model itself is the main differentiator. But what happens when your model reaches 62% accuracy in a workflow that requires over 99%?
And more importantly, what happens when the solution has nothing to do with improving the model?
This session explores lessons learned from real-world diagnostic and clinical software systems, where performance, reliability, and clinical constraints redefine what “good enough” means.
It challenges the model-centric view of AI systems and shifts the focus toward architecture, workflows, and system design as the true drivers of value.
A practical reflection on building AI systems in high-stakes environments where accuracy is not optional.
Get conference pass
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