The Value Proposition for Using ML in Brick-and-Mortar Retail Stores: Home Depot (Cloud Next '18)
In brick and mortar retail, customer service starts with product being in stock and on the shelf. Hear how Home Depot’s machine intelligence team has used machine learning on GCP to solve this classic problem in retail. In this case study we present the business case for ML, the technical challenges we encountered, and how we overcame them.
MLAI104
Event schedule → http://g.co/next18
Watch more Machine Learning & AI sessions here → http://bit.ly/2zGKfcg
Next ‘18 All Sessions playlist → http://bit.ly/Allsessions
Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Видео The Value Proposition for Using ML in Brick-and-Mortar Retail Stores: Home Depot (Cloud Next '18) канала Google Cloud
MLAI104
Event schedule → http://g.co/next18
Watch more Machine Learning & AI sessions here → http://bit.ly/2zGKfcg
Next ‘18 All Sessions playlist → http://bit.ly/Allsessions
Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Видео The Value Proposition for Using ML in Brick-and-Mortar Retail Stores: Home Depot (Cloud Next '18) канала Google Cloud
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