Send us a text

Hardly a week passes without headlines about the latest breakthrough in Large Language Models (LLMs). They’re powerful, impressive, and everywhere, but when it comes to solving real-world business challenges, bigger isn’t always better.

In this episode, Stephen Breen from ZeroMission explores why the real future of enterprise AI may lie in Small Language Models (SLMs), especially when combined with knowledge graphs and GraphRAG.

What you’ll hear about:

• Why SLMs outperform LLMs for business-ready intelligence in transport, infrastructure, and operations
• How federated, task-specific models mirror the way human reasoning actually works
• Real-world use cases: from fleet maintenance and depot energy optimisation to regulatory compliance
• The game-changing role of knowledge graphs in grounding AI systems in real-time, verifiable data
• Why the next phase of GenAI isn’t about chasing bigger models, but designing smarter, domain-specific ones

Whether you’re a fleet operator, infrastructure planner, or simply curious about where AI is headed, this conversation will give you a grounded, practical take on the technologies shaping the future of intelligent operations.

Because in the world of AI, small, smart, and specific may just be the biggest breakthrough of all.

www.zeromission.io

Reach out to us on Email: [email protected]

Follow us on LinkedIn

Connect with our team Alan Crowley, Kevin Christopher, Brenda Shanahan, Eduardo Espinal, Stephen Breen, Liam Nolan, Callum Hennessy Cian Kavanagh, Niamh Quinn