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Ignasi Puig de Dou | Datancia
Gráinne Costigan | HP

CEO
Data Scientist. Large Format Printing
Ignasi Puig de Dou Datancia i Gráinne Costigan HP

Ignasi Puig de Dou | Datancia
Gráinne Costigan | HP

CEO
Data Scientist. Large Format Printing

Biography

Ignasi Puig holds a Mechanical Engineering degree from ETSEIB UPC and a Master’s in Industrial Engineering from Purdue University (Indiana) with a Fulbright la Caixa scholarship. He also completed a PDD program at IESE Business School and recently he finished a Master in Statistics and Operations Research from FME UPC. Together with some members from the Industrial Engineering School Statistics Department he recently created the company Datancia, focused on providing Advanced Analytics tools and methods to businesses. Previously he worked in Accenture in car manufacturing supply chain projects and in Hewlett-Packard as Large Format Planning Manager.

Gráinne Costigan obtained her Degree in Physics, Master’s in Mathematics and a PhD in Astrophysics while working in a number of research institutes across Europe. After finishing a post-doctoral position at Leiden University where she was working on the latest big data European satellite, she made the transition to industry where she continues to enjoy playing with data. Working in industry and with hardware has brought new challenges, and for the past year and a half she has enjoyed working with the Large Format Print Big Data team at Hewlett-Packard Sant Cugat to make printers smarter.

PRESENTATION: Industrial printer tracking and failure identification. The HP-case

Tracking industrial equipment usage and failure rate in a “clever” way is key to focus support resources into those machines requiring attention. This is especially relevant if the number of machines being monitored are counted by the thousands and placed all over the world. The Large Format Printer Division of Hewlett Packard faced the challenge of automatically and regularly identifying printers needing engineering support. The project required a down-to-earth approach were project goals had to be tuned to available data and capabilities, data quality processes implemented and advanced methodologies for dimensionality reduction and probabilistic inference put in place.

All session by Ignasi Puig de Dou | Datancia
Gráinne Costigan | HP

SUCCESS STORIES II

16:45H
Auditori AXA