Dhanji R. Prasanna: evaluation

Transcript context

…To make that even more concrete, is there an example of something maybe AI was trying to, or a team was trying to pitch where you had to just know this is where humans are going to step in and keep things on track? I'd say it was more around things like process automation or a lot of times I'll get this sort of request where a team will say, "We need to buy this new tool from this vendor because our current tool is entering X, Y and Z." Another team will say, "No, no, no, we can just use Goose to build an app that will do the same thing for us in half the time or less." And then as a human, you're sitting there thinking, "Is any of this necessary? If we just change the process, do we even need to think about building tools? " And this is the thing that AI isn't good at, it's not able to have this portfolio judgment or judgment across a global sense of what's important and what matters. So a lot of times, I tell teams just question the base assumption, particularly our InfoSec teams because they'll twist themselves into knot sometimes trying to secure something and you'll be like, "We'll just ask the team that's building it to do it differently or to not build that at all if it doesn't matter, and then you won't have to increase your surface area of securing it. " So I think those are the areas where it's better for a human to use judgment and AI has not done a great job. You make this point about building your own software, your own tools instead of buying stuff. This is a big question with AI, is it's going to replace all these SaaS apps to Salesforce over. Is there a sense of just either how much money you guys have maybe saved building your own stuff, or have you built a new-found respect for the existing SaaS software that everyone's using and pays lots of money for?…

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