By Ry Crozier on May 13, 2021 12:29PM AGL s barn raising principles illustrated.
As ML at Scale program hits its stride.
AGL is honing the machinery and processes it set up last year to smooth the path for machine learning models from proof-of-concept to production, with the process cut from 200 hours down to 20 hours.
Head of advanced analytics Sarah Dods told IQPC’s Data Analytics online event series that the company used a ‘barn raising’ technique to stand up all the pieces needed for a production-use machine learning model.
“To actually do the technical work of bringing the model across [to pre-prod and then production], we’ve gone right back to the Amish and gone with ‘barn raising’ principles,” Dods said.