Erhan Giral
speaker
389 appearances
1 recordings
1 series
first heard Aug 2026
last heard 3 Aug
Erhan Giral’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Aug 2026 with 1.
Appearances
Let's do additional diagnostics, essentially a lot of read-only operations.
So we categorized, we thought, we trained our model so that it knows how to categorize and label these actions as, well, these are diagnostical, so you'll never break anything by just doing these.
So we started automating those, as you can imagine.
Some of the actions are on the remediation side of things, which means, oh, you need to go to this configuration and actually change that port number or go to this machine and allocate more file system space.
So essentially things that touches the system, we still require a human in the loop for them to approve the plan.
before any such automation is actually called upon.
Right now, essentially, we are in an assistive capacity, which means these human beings are now fed these recommendations and AI generated plans of action.
And as they do things and as they adhere to the plan or deviate from the plan, we actually track that life cycle, Craig, so that if any of our recipes are executed and everything is fine, that's great.
That's great feedback for us.
But we actually learn from our mistakes more.
Meaning if, let's say, for instance, we tell them, hey, you need to do A, B, and C, but then if they do A, B, and X...
Then we actually learn that once that ticket is closed so that we can, even if that subject matter expert is not really donating and writing a lot of descriptions of things, we want to essentially understand their intent and purpose.
the real way they fix the issues and we train our models as that flywheel turns, as they respond to tickets and leave little digital traces of their actions.
Yeah, that's certainly where it's going.
There's definitely huge economic pressure in automation, of course.
One thing that you said is automation bias is very true.
And to address that, we have built various quite interesting fingerprinting techniques of incidents and issues.
Essentially, when something goes wrong, we keep a very detailed record of what the machine signals were, what human beings have done, and locality of that issue, how that issue transpired, like what was the first domino that toppled over?
What was the second domino?
So we create these causal traces of incidents and issues in the enterprise.
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