Discussing AI's role in internal video production

Discussing with your AI build partner what the right way to visualize that concept is, and then three, thinking about what the anchor visual content for that video is going to be. So the new onboarding flow, the anchor visual content will likely either be a walkthrough of the flow, if it can be done with existing parts, or again, some demonstration or prototype. A new store layout, on the other hand, might start with a floor plan and also include mockups and renderings of what that store might look like. In any case, your AI build partner is going to be able to help you flesh out the concept, pick those visuals, generate those visuals if necessary, plan and script the video, execute the recording of said video, find the relevant external assets, if there are any, to be included in that video, and then edit it all into one complete package. Video use case number two Again, we're still internal facing this is one I mentioned before, but that 2, 3, 4 minute version of the meeting is an incredible use of the new video editing capabilities of AI. Now, some of you might rightly point out that for a lot of meetings the written AI summary might be sufficient, and that absolutely could be the case, especially if it's a sort of de rigor, standard stand up type meeting where there's not a lot of particularly new information and there's not a lot of debate or discussion. But what about where you missed the meeting where there was some meaningful and even intense conversation or debate about a particular decision? Having AI be able to take the raw recording and hone in on that important piece and show you not just the transcript but the actual exchanges as they happened I think could be quite a valuable use case. So this is one where it's a great example of we're not trying to turn everything into a video. And frankly, it's pretty unlikely that most meetings that we hold are going to be video worthy. But for the ones that are, this could be a game changer. Now, I would also humbly submit that if a meeting isn't video worthy, maybe don't have that meeting and maybe just do it via text in the first place, but that's a whole separate conversation. A third internal video use case is about giving people inside the company access to what customers outside the company are saying. This is relevant if the company does sales calls, has records of recordings of support calls, or does any sort of recorded customer research. And the value of video here is really two parts. The first part is the process of aggregating and then curating the most important themes from all of that raw information. And this is not something to be clear that needs a video output to be valuable. In general, it is a great use case of AI to be able to take a huge amount of aggregate information like customer feedback, and turn it into actionable themes and key insights. But sometimes those things don't matter unless they can actually find their way to the decision makers inside the company. And that's where video can be really valuable. The fourth internal use case idea.