Welcome to the 2019 Predictive Analytics World (PAW) Conference Series. Recorded live in Las Vegas, this series is bringing interviews straight to you from exhibitors and speakers at this year’s event. In this interview, host Jamin Brazil interviews Mark Do Couto, VP of Worldwide Sales, Data Intelligence at Altair. Find Mark Online: Email: mdocouto@altair.com LinkedIn Altair [00:02] My guest today is Mark Do Couto, Altair. Mark, what do you think about the show so far? [00:08] It’s a great show. It seems like there’s a good turnout. Lot of great, interesting customers here. It’s always good to see a lot of traffic and fellow vendors that are out here supporting. [00:20] I really like how they laid everything out. This is my first time at this particular event, and I feel like they’ve really nailed the cross-pollination between the attendees and the exhibit hall. [00:29] Yeah, it’s really cool that some of the speaking engagements and stages are kind of opened into the exhibit hall; so, it makes a more natural flow. [00:37] Yeah, totally. So, Altair – got it, right – is a recent acquisition or acquirer. Tell me a little bit about the core business. [00:46] Yeah, so, Altair, as a company, is traditionally a manufacturing and engineering company. Focus on design, lot of time spent in the automotive, aerospace. But they really want to look into data and really get into the data space. So Altair acquired Datawatch in December of last year. And Datawatch has a full suite of products, which goes straight from data preparation to predictive analytics to our own visualization software. And most of our customers are based in financial services, which is completely outside of what Altair focuses on, which is a reason they were really excited. They were excited for us to stay in the market that we’ve been playing in, but also see how we can bring this into kind of the traditional manufacturing and engineering space. [01:28] Oh, that’s interesting. So it sounds it’s 0like a value-add to their existing, their core business but then maybe moving into another market? [01:35] Exactly. So they, basically, have now acquired a company that already has customer and share in another market, but we’re having really interesting conversations with their traditional customer base: a lot of helping predict machine failure, doing predictive maintenance on the manufacturing floor. So some really interesting use cases are coming out of their traditional customer base. [01:57] That is actually really interesting. Yeah, the downtime on, you know, if a cog goes out on a machine is catastrophic from an ROI perspective, right? [02:06] Absolutely. [02:07] So being able to predict when machines are going to need maintenance and that kind of thing is actually a big industry that a lot of people don’t know about.
Welcome to the 2019 Predictive Analytics World (PAW) Conference Series. Recorded live in Las Vegas, this series is bringing interviews straight to you from exhibitors and speakers at this year’s event. In this interview, host Jamin Brazil interviews Mark Do Couto, VP of Worldwide Sales, Data Intelligence at Altair.
Find Mark Online:
Email: mdocouto@altair.com
Altair
[00:02]
My guest today is Mark Do Couto, Altair. Mark, what do you think about the show so far?
[00:08]
It’s a great show. It seems like there’s a good turnout. Lot of great, interesting customers here. It’s always good to see a lot of traffic and fellow vendors that are out here supporting.
[00:20]
I really like how they laid everything out. This is my first time at this particular event, and I feel like they’ve really nailed the cross-pollination between the attendees and the exhibit hall.
[00:29]
Yeah, it’s really cool that some of the speaking engagements and stages are kind of opened into the exhibit hall; so, it makes a more natural flow.
[00:37]
Yeah, totally. So, Altair – got it, right – is a recent acquisition or acquirer. Tell me a little bit about the core business.
[00:46]
Yeah, so, Altair, as a company, is traditionally a manufacturing and engineering company. Focus on design, lot of time spent in the automotive, aerospace. But they really want to look into data and really get into the data space. So Altair acquired Datawatch in December of last year. And Datawatch has a full suite of products, which goes straight from data preparation to predictive analytics to our own visualization software. And most of our customers are based in financial services, which is completely outside of what Altair focuses on, which is a reason they were really excited. They were excited for us to stay in the market that we’ve been playing in, but also see how we can bring this into kind of the traditional manufacturing and engineering space.
[01:28]
Oh, that’s interesting. So it sounds it’s 0like a value-add to their existing, their core business but then maybe moving into another market?
[01:35]
Exactly. So they, basically, have now acquired a company that already has customer and share in another market, but we’re having really interesting conversations with their traditional customer base: a lot of helping predict machine failure, doing predictive maintenance on the manufacturing floor. So some really interesting use cases are coming out of their traditional customer base.
[01:57]
That is actually really interesting. Yeah, the downtime on, you know, if a cog goes out on a machine is catastrophic from an ROI perspective, right?
[02:06]
Absolutely.
[02:07]
So being able to predict when machines are going to need maintenance and that kind of thing is actually a big industry that a lot of people don’t know about.
[02:15]
Even some of the major automotive manufacturers that Altair traditionally works with, they have like trucking fleets. So, if a truck is out on the road and it goes down, that delay can cost a lot too; so, we’re looking at ways that we can help predict when maintenance and support’s going to be needed on those trucks and get it done before it goes out on a cross-country haul.
[02:36]
So, tell me about who’s your ideal customer? Not, not..I mean Altair, obviously, is kind of this big but more in line with your core.
[02:51]
Yeah, absolutely.
[02:47]
Datawatch or before.
[02:50]
So, the core of the business is really around how you’re leveraging the data that you have, but how you’re doing it in a way that you don’t need to be traditional data scientist. So, really, it’s what Gartner would call your “citizen data scientist.” So, it’s a visual space to leverage data, build predictive models, and then automatically export that into a BI tool or even automatically generate cod...