The Data Source Podcast
The Data Source Podcast
Podcast Description
Atlantic Search presents a podcast series for technology leaders, data professionals and AI enthusiasts, featuring insights from Ireland's most influential voices in data, advanced engineering and AI.
Each episode explores the innovation, disruption, and transformation shaping the future of business through data and AI.
Designed to inspire and inform, this podcast offers candid conversations with industry leaders, sharing real-world lessons from both success and failure in applying cutting-edge data science and engineering strategy.
Podcast Insights
Content Themes
The podcast delves into themes of innovation, disruption, and transformation as shaped by data and AI, with specific episodes covering topics such as Agentic AI and its implications for business value, as well as the EU AI Act discussing regulatory challenges and strategies for succeeding with AI initiatives.

Atlantic Search presents a podcast series for technology leaders, data professionals and AI enthusiasts, featuring insights from Ireland’s most influential voices in data, advanced engineering and AI.
Each episode explores the innovation, disruption, and transformation shaping the future of business through data and AI.
Designed to inspire and inform, this podcast offers candid conversations with industry leaders, sharing real-world lessons from both success and failure in applying cutting-edge data science and engineering strategy.
In this episode of The Data Source Podcast, I’m joined by John Murphy, Co-Founder of Ailíniú, to explore what it really means to build with AI in practice.
John spent years as a Chief Architect in some of Ireland’s largest organisations before moving back into building products himself, with AI now a core part of how he works.
We discuss the difference between architecture and shipping, why AI can help teams build faster, and why that also makes it easier to build the wrong thing quickly.
John shares a practical view of how he uses AI day to day – as a thinking partner, a second brain, and a coding assistant – while also explaining where deep human judgement still matters most.
We also get into the reality of taking AI into production: deterministic answers, evaluation, observability, model changes, fallback paths, human oversight, vendor risk and governance.
For regulated firms in banking and insurance, John explains why AI governance cannot be compliance theatre. The firms that get this right are not slowing themselves down – they are creating the guardrails that allow them to move faster with confidence.
This is a conversation about AI, architecture, regulation and what it takes to ship useful, controlled and trustworthy systems in the real world.
Enjoy!

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