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, I’m joined by Siobhan Fairman, VP of Engineering at Compliance & Risks, to explore how AI systems and MCP are reshaping modern SaaS architecture.
We discuss what becoming AI-first really means beyond adding features, how teams are separating models, context and tools in practice, and why workflow and orchestration are becoming critical design decisions.
We also examine the human side – why this shift isn’t just technical but organisational, and why, without alignment across leadership and teams, AI-first initiatives struggle to succeed.
This is a conversation about building AI for production – with control, clarity and long-term thinking. Enjoy!
Disclaimer
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