Aaron Levie: evaluation

Transcript context

…hey, that’s my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets. Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we’ve, we’ve built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files. All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. But there’s been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don’t really see them for a long time. And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that’s onboarding, that needs to ramp up on a project. Um, it contains the answer to the right thing to sell a customer when you’re having a conversation to them, with them contains the roadmap information that’s gonna produce the next feature. So all that data. That previously we’ve been just sort of storing and, and you know, occasionally forgetting about, ‘cause we’re only working on the new active stuff. All of that information becomes valuable to the enterprise and it’s gonna become extremely valuable to end users because now they can have agents go find what they’re looking for and produce new, new value and new data on that information. And it’s gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they’re gonna need access to that data as well. And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there’s gonna be agents that are just. Effectively autonomous and kind of run on their own and, and you’re gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody’s, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent. It’s on its own system, it’s on its own computer, it has access to its own tools. I probably don’t give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that enterprise data. municate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that enterprise data. We think it’s gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we’re building the right platform to support that.…

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