Why most industrial AI pilots fail before they start
Five signs the initial diagnosis was not done properly — and how to spot them before signing a contract.
Read the full article →
Specialist in operational diagnosis and AI implementation in industrial environments. He leads the calibration and roadmap phases of the Caliber Method™ for industrial SMEs across Catalonia.
Daniel helps industrial teams understand where they stand before investing in AI. His job is to measure — processes, data, people — and turn that reading into a prioritised, budgeted action plan.
Founder of IA Girona, he has led more than 40 diagnoses at manufacturing companies in the north-east, from supply chains to assisted quality control. He combines technical training in communication and systems with 15 years of field experience.
Auditing processes, data and digital maturity in industrial environments.
Computer vision, NLP and prediction use cases applied to the shop floor and operations.
Prioritisation, budget and KPIs for a 6-to-18-month horizon.
Aligning leadership on AI criteria to make data-driven decisions.
Five signs the initial diagnosis was not done properly — and how to spot them before signing a contract.
Read the full article →A pragmatic protocol for SMEs still working with spreadsheets and legacy ERPs.
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Six weeks, one hypothesis and a team of three. What we learnt and what we would change.
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A complete inventory of the inputs, outputs and questions that structure phase 02 of the Caliber Method.