10.25.23-Digital-Hopara

GANT REDMON: Well, look at that. I think that's the hospital where my company was born. So some people might recognize the Stata Center. OK, so that's me, Gant Redmon. But more people know the guy below me. That's Mike Stonebraker. Raise your hand if you've heard of Mike Stonebraker. God bless you all.

So a while back he created this database called Postgres, won the Turing Award for it. He's still a really great guy. He comes over every Wednesday to my place in the south end, and we have a company meeting virtually.

And I have to get him English breakfast tea with a lot of cream. And he really likes chocolate croissants. So as long as I deliver that, man, he is there-- so super, super, super guy.

Oh, there we go. That's-- so his history-- and really, it's interesting. I'm going back to this because we're a natural progression of what Mike Stonebraker has been doing with his illustrious career. He was focused on databases-- Postgres, Ingres, SQL queries. And then once that was going, suddenly there were a lot of different databases.

So what people needed to do is actually normalize that data because it was getting confused. So he founded companies like Tamr and Vertica. So now, everything's in a database. Everything is normalized and organized. How about looking at it? How about visualizing it?

Big fan of Google Maps. So what he wanted to do is be able to take that data and put it in context to gain greater insight. So you're using your eyes and your brain. Now, I know this is an AI conference. But I'm actually the part where we're still using the brain and helping that brain come up with solutions.

So what do we do? Digital twins, love the term, but we're a little different. When you think of digital twins, I bet a lot of you think about this three-dimensional hologram representation of something that actually has enough value that you want to do that, like a submarine or a nuclear power plant or a large truck or something like that.

Well, it turns out digital twins doesn't have to be 3D. Hopara can do 3D, when you need it. A lot of times you don't. So it's 3D when you need it, and 2D when you don't. We're going to show you what that means.

Who do we delight? We delight people who have lots of data. Remember, we started out with Google Maps. What's the great thing about Google Maps? When you're looking at the whole United States, do you see every Dunkin' Donuts? No, you see that once you drill down.

You get down to the state, the city, down to the street. Now we're seeing that is detail on demand. This goes back to the whole forest and trees thing. So we need people with lots of data because it has to start with a forest to really care about then seeing the trees from it.

So usually, they have lots of things. And they want to know what is it, where is it, and what is it saying. What is it saying is the IoT part of this. It turns out there's lots of applications for this. It could be manufacturing. It could be waterworks. But an underserved market that we found was laboratories.

They have a lot of stuff. They want to know where it is. They want to organize the lab. They want to see what's an alert, what needs maintenance, make it easy for the scientists to schedule. So we're delighting folks like PerkinElmer, AstraZeneca, and the like in their laboratories.

But it doesn't mean we're just labs. We need information to go into a database. That's what we read. We don't ingest. We actually do just SQL queries, very light touch. That means we're not taking in people's data, which would be a security issue.

One thing about data, data is like asbestos. It's very valuable, but you don't want to spread it around a lot. So we also-- most of the people we delight already have something. And that's fine. They should keep it.

It probably looks like Grafana or something like that, where you have lists and speedometers and bar charts and graphs. And that's great. And we're going to take a look at an example of that. But wouldn't it be great if you could also see it in the context of the world, the state, your factory, your floor plan of your lab?

Let's take a look at what that looks like. And fortunately, we have people that actually want that. They want their life to be easy. I'll give you an example.

Lab manager says, I get woken up at 2:00 in the morning, I've got this refrigerator that's spiking. Somebody probably just left it open. I needed to know where it is. I want to know who's the security guard. And I want to be able to tell them exactly where to go. If I have just everything in lists, it's hard. Make it easy. I just woke up. Give me a break.

OK, so that's not us. That is PerkinElmer's OneSource. We are partnering with them. Why are they partnering with us? Well, I don't really have to say much more. You look at that and go, OK, what is it trying to say to me?

And I'm sure if you look at it all day you're looking at things, and it makes a lot of sense, and that's great. But what if instead it looked like that? What if you could go, oh my gosh, I know exactly where it is, what's an alert, and go exactly where you need to go.

So call to action-- basically, folks, we sit on top of other people's products, or you can build it into your own solution. We're not trying to replace. We're trying to add. We're creative. So feel free, come on by, love to see you over at the booth. Thank you very much.

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