社内データ、結局どこまでAIに入れていい？やりがちなNGと正解【データサイエンティストが解説】

No, Mi-san, this is the episode where we're saying we shouldn't put in-car data into the air. Well, it did go viral on our end. There was one video that got quite a lot of views. yes. there was. No, it seems that it still has a lot of views. No, that's good. Lots of people have seen it, and I've even received direct comments, so the response has been really good.

However, a common complaint is that they'd like more specific details. We've received quite a few requests from people who want to know what they can actually put in it, what they should be careful about, and other specific details.

surely. yes. yes. That's it, right? Last time, I think we talked in a fairly conceptual and broad sense about things like how there are risks involved in putting that data into AI. But I feel like we didn't really go into detail about how we should handle this data in the future. [clears throat] On

the other hand, that's something that people tend to be concerned about when it comes to work or business, so we do get a lot of comments about that. yes. Today, I'd like to organize some points about how to incorporate a car date into your date, including specific ideas and things to keep in mind. Let's get started

. yes. I think it's probably 3 people, but yes . I think a new Noha will be born. I'm looking forward to it . yes. I think so. yes. Well, one point is definitely the classification of the data; this is often a point of contention, isn't it? yes. yes. yes. Data classification. Well, from this perspective, this data is probably best categorized and considered in terms of how confidential it is. Well, this is something that has been