12-16 October 2015
Brookhaven National Laboratory
America/New_York timezone

Supervised Machine Learning

15 Oct 2015, 09:00
Bldg. 510 - Physics Department Large Seminar Room (Brookhaven National Laboratory)

Bldg. 510 - Physics Department Large Seminar Room

Brookhaven National Laboratory

Upton, NY 11973
Storage & Filesystems Storage and Filesystems


Mr Amit Chattopadhyay (WD)


Given the amount of inline data generated, large volume hard-drive manufacturing is an appropriate environment to employ contemporary 'Big Data' techniques. It can be used to generate a feedback loop, as well as a feed-forward path. The feedback loop helps fix what is broken. The feed-forward path can be used to predict drive health. In this presentation, I will focus on some work we have started at Western Digital - using Supervised Machine Learning techniques to predict the health of a hard drive and develop a hierarchy of "health grades". As the technique matures, this could fundamentally influence the manufacturing environment as well as WD's customer engagement.
Length of presentation (max. 20 minutes) 20

Primary author

Presentation Materials

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