Case Study: Don't Replace Humans. Amplify their Capabilities., by Daniel Lundin
- Mark Miller
- Apr 15
- 2 min read
Daniel Lundin is a seasoned consultant with a decade of experience in management consulting and interim leadership roles. His expertise includes implementing data governance frameworks, integrating acquisitions, and driving change.
Daniel has led large-scale initiatives to establish metadata standards, improve data quality, and streamline operations.
Daniel's session is streaming live from Malmö, Sweden during the 24 hour Artificial (Un)Intelligence Conference. 100+ sessions. No sales pitches, no marketing.
Session Description, Don't Replace Humans.
Somewhere in a perfectly average corner of the galaxy, a perfectly average company had a perfectly ordinary problem: experienced technicians kept solving complicated things that new technicians couldn’t. Management, armed with spreadsheets, buzzwords, and a faint sense of panic, turned to AI.
But instead of unleashing an all-knowing robot overlord, we did something radical—we listened to the humans.
This session tells the story of how we bottled human knowledge (gently), modeled it into taxonomies and ontologies (with only minor headaches), and let it dance with unstructured data to create an unusually clever Large Language Model. Not to replace the service technicians, mind you, but to make them feel like they’d finally read the manual the universe forgot to include.
Join us for a journey through structured knowledge, semantic modeling, and a surprisingly touching tale of human-machine collaboration. No towels required.
About Daniel Lundin
Daniel is a seasoned consultant with a decade of experience in management consulting and interim leadership roles. Specializing in metadata and master data management, including taxonomies and ontologies, he has successfully driven transformation initiatives that enhance operational excellence with the help of structured data. His expertise includes implementing data governance frameworks, integrating acquisitions, and driving change.
With a strong focus on data as a foundation for efficiency and decision-making, Daniel has led large-scale initiatives to establish metadata standards, improve data quality, and streamline operations. He has also built and managed global data stewardship programs, ensuring robust governance and consistency across organizations.
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