Samsara CEO 播客中回顾车载 AI 摄像头与云端数据平台能力

【播客逐字稿片段 · The MAD Podcast (Matt Turck)】
单集:The Biggest AI Deployment Nobody Talks About | Samsara CEO Sanjit Biswas
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So it's like you know outward and inward facing.

The driver side of the camera can do things like detect fatigue or mobile phone usage provide real-time feedback to the driver.

And the idea is they can self-correct uh self coach and that is like the aha is it breaks the the cycle or the bad feedback loop of I'm going to look at my phone.

If you get a sort of like audio alert in the moment and it happens many many times you tend to break the habit because it's sort of negative reinforcement.

Um that was a huge breakthrough for us um six seven years ago uh as we introduced AI at the edge and now we're kind of going further with that concept finding other forms of risk and so on >> right because it used to be a safety device and now it's an interface uh that the driver can can communicate with the AI.

>> Exactly.

Because now that you've got the technology in the cab, what else could you do with it?

Could you give the driver uh driver a briefing in the morning as they start their shift about where all they're going to go and traffic conditions and weather?

Um, we have a little button.

They can use that to uh, you know, call dispatch, for example, and say, "Hey, I'm going to be late because I need to uh go pick up some tools or something like that." So, the that connectivity layer just got enhanced with the presence of all this technology >> and all of this.

And I know you have other sensors for like temperature and that kind of stuff.

uh all of this is is built by you.

So you mentioned not all the components but like all of this is is propos the system and it's designed as an open system by the way because a lot of these newer assets they have uh APIs effectively right so a lot of newer trucks for example we can do a cloud-tocloud connection so you don't necessarily need the black box but you want the data and you want it like organized and and seamless with all of your other assets uh because typically in operations you'll have Ford trucks and GM trucks and Caterpillar and Freightlininer and all kinds of other equipment coming together.

Um, so we act as that orchestration layer.

Uh, so the hardware is very much part of the story, but we also have software in interfaces coming into the system.

>> All right.

So you got all of this and then uh you move it to the cloud and then uh what do you have there?

Like you have a gigantic data warehouse and like ETL kind of data transformation.

Uh is that how it works?

>> Um that's right.

From an ingestion perspective, I think you got it.

Um, so just massive amounts of data storage.

Uh, this is all kind of sitting in modern hyperscaler cloud.

So it's not that we have like one big warehouse/data center, but um, you know, pretty large system.

Um, so we ingest the data, we're storing it and organizing it, and then we like basically have a bunch of processes that are that are um automating like sort of automatically working on top of that data as well.