Project Description
Over the years, our bugzilla database has grown up in size, becoming a very valuable source of truth for most support and development cases; still searching for specific items is quite tricky and the results do not always match the expectations.
What about feeding a Maching Learning platform with the Bugzilla Database, in order to be able to query it through AI interface? Wouldn't it be nice/convenient to ask to AI: "Gimme hints about this kernel dump!" or "What is the root cause of this stack trace?"
It is the age of choice in the end, isn't it?
Goal for this Hackweek
For this Hackweek, the focus is to trigger a discussion on the following non-exhaustive list:
- What are the boundaries to be set when considering such an approach (legal, ethical, technological, whatever)
- How much of the Bugzilla DB can be used for feeding ML? ( can we use customer's data? what about partner's data?)
- Find out an open source ML solution fitting our needs;
- Find out some hardware where the solution can be eventually run on.
Anyone interested can join the discussion on the open Slack channel #discuss-bugzilla-ai
Resources
[1] https://blog.opensource.org/towards-a-definition-of-open-artificial-intelligence-first-meeting-recap/
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This project is part of:
Hack Week 23
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over 1 year ago by paolodepa | Reply
Preliminary findings: talking to Amartya Chakraborty, who works to the Rancher AI project (https://github.com/rancher/opni), it seems that their framework can be attached to a Bugzilla instance for machine learning and pobably this will be explorated in the future
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