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Sheffield AI: Made to Measure

Event artwork for Sheffield AI: Made to Measure

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About this event

What to expect

Industrial AI meets Sheffield's thriving tech community for an evening focused on real-world manufacturing challenges. Sheffield AI's Made to Measure event brings together builders, founders, and AI practitioners to explore how artificial intelligence is transforming quality control and production systems in physical industries.

What to Expect

The evening kicks off with Steve Cheshire from Koala discussing vibe coding in 2026 — exploring how AI-assisted development is evolving and why it's time to embrace this new paradigm. This opening talk sets the stage for understanding how AI tools are reshaping not just what we build, but how we think about building.

Jonas Ruginis from Nocturne Agents delivers a lightning talk on AI voice support for eCommerce businesses, sharing practical insights from the trenches of customer service automation. Learn how conversational AI is handling real customer interactions and what it takes to build reliable voice agents that work in production.

The main session features Jim Carroll, CTO of Digica, who brings deep expertise in industrial AI applications. His talk "AI for Industry: Turning Data into Quality" tackles the unglamorous but critical challenges of manufacturing: defect detection, quality monitoring, and anomaly detection where the stakes are measured in millions.

Key Topics

  • Anomaly detection and quality monitoring in production environments
  • Training robust models with limited defect examples
  • Synthetic data generation for industrial applications
  • Edge deployment for real-time quality decisions
  • Case studies: silicon wafer defect detection and automated paint quality testing
  • The economics of getting quality control right (or wrong)

This isn't theoretical AI — it's the messy, physical world where defects cost money and precision matters. You'll see how techniques like computer vision and machine learning actually perform when deployed on factory floors, handling real products moving through real production lines.

Who Should Attend

This event suits anyone interested in practical AI applications, from founders building AI tools to developers implementing computer vision systems. The manufacturing focus makes it especially valuable for those working in industrial tech, IoT, quality assurance, or exploring AI applications beyond software.

The format balances quick-fire insights with deeper technical content, creating space for both learning and networking w

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