Thought Leaders in Artificial Intelligence: Michel Morvan, Co-Founder of Cosmo Tech (Part 1)

This is a dense discussion on decision support systems capable of handling complex problems. Requires technical knowledge to follow.

Sramana Mitra: Let’s start by introducing our readers to yourself and to Cosmo Tech.

Michel Morvan: I’m the Co-Founder and Executive Chairman of Cosmo Tech. We are a technology company. We create software to help decision makers make decisions in the most complex environment and being able to forecast the impact of the decision on their business. We do that mainly by using very sophisticated modelling and simulation tools. >>>

Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 5)

Matthew Sappern: There are a lot of people who feel that artificial intelligence and machine learning is much further along than it really is. There is so much data out there right now. I think that’s an important first step. There’s data and there’s actionable data or what some of my colleagues call the ground truth – information that’s been curated in a way that you’re confident that it’s representative of what it needs to be.

If you’re not using that curated data to teach these machines, then you’re really not generating anything of real value. There is a lot of hard work in coming up with even a nominally accurate algorithm using artificial intelligence. It has taken us years and years to finally get to a point where we’ve got something that we’re confident about. It is not for the faint-hearted. >>>

Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 4)

Sramana Mitra: We’re seeing an increasing amount of AI applications in the healthcare IT domain. I don’t know if you’re familiar with this announcement that we recently made of a European partnership with the European Institute of Innovation and Technology and their digital health arm. 115 companies from Europe are going to be accelerated within the One Million by One Million program. They all have different flavors of all this stuff going on.

Matthew Sappern: Whatever we can do to put care closer to the patient is pretty remarkable. These digital platforms have the triple ability to generate data, interpret that data, and deliver information directly to the patient in milliseconds. You’re seeing more and more people who are much more comfortable with these technologies and using these technologies in everyday life. >>>

Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 3)

Sramana Mitra: In the healthcare space, where are some of the other areas where you see the possibilities of this kind of pattern recognition and interventions based on pattern recognition?

Matthew Sappern: There are so many. Take the ICU for instance. You walk into an ICU. A typical patient has multiple telemetry devices hooked up. You’ve got nurses who are trying to manage all of that for each patient. There’s no normalization of that data. These are areas where if you were able to take tools like PeriGen and apply it to that service line, you could probably figure out how you can manage some of those ICU patients. Why that’s important is because the nurse to patient ratio is a bit less in a step-down unit.

It’s certainly more affordable for hospitals to manage that. It’s a more economic approach to managing healthcare that is ultimately made possible >>>

Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 2)

Matthew Sappern: Where computers are so helpful with that, as you can imagine, is computers don’t get tired. They’re not getting  coffee or arguing with someone. They look at the same series of data the same way every time. Once we figured out the ability to interpret these waves, we’re able to let the doctors or nurse know when there’s an issue at hand. >>>

Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 1)

I have been talking about the applications of AI on Healthcare IT problems. Here is a great case study.

Sramana Mitra: Let’s start by having you introduce yourself as well as PeriGen to our audience.

Matthew Sappern: I’m the CEO of of PeriGen. PeriGen is a software developer. We make software as a medical device. We’re FDA-cleared. Our primary goal is to build software that helps clinicians prevent adverse outcomes in childbirth, which is a pretty important task.

Sramana Mitra: Double-click down on that and explain what exactly are we talking about. Give us a use case and talk us through how this works. >>>

Thought Leaders in Artificial Intelligence: Grant Ingersoll, CTO of Lucidworks (Part 5)

Sramana Mitra: As I’m listening to you, I’m trying to answer the same question in this context. As we go along, the notion of composite search becomes critical.

Grant Ingersoll: Could you define that a little bit? How are you defining it?

Sramana Mitra: Context-specific things that are not just finding the data but really highly personalized, context-specific, actionable search.

Grant Ingersoll: Exactly. That is the goal here. Take working with your own email. There’s this case where you’re in this mode of getting through this. You also often have this mode where you’re searching and looking for related information. You want search and search-related things >>>

Thought Leaders in Artificial Intelligence: Grant Ingersoll, CTO of Lucidworks (Part 4)

Sramana Mitra: What kind of infrastructure are your clients running these days? I imagine you’re going after the larger e-commerce sites because the smaller ones don’t have the infrastructure to run these kinds of stuff.

Grant Ingersoll: We scale pretty nicely with the size of the organization. A good chunk of the top 100 or top 250 retailers in the US are powered off of either our open source software or our commercial product. Many of them are in a migration right now, going from on-premise up to one of the big public cloud environments. We’re starting to see more of this running on Kubernetes and Docker. It really depends on the organizations and where they’re at.

Most of the really large retailers that we support have moved to public cloud. They are now choosing the one that is most competitive for them. In >>>