Thought Leaders in Artificial Intelligence: Michel Morvan, Co-Founder of Cosmo Tech (Part 4)

Sramana Mitra: Let me ask you how. There are certain core technical decisions or choices you have made here to enable this kind of decision making. Could you give us some insights into what those are?

Michel Morvan: I mentioned the fact that we created a modelling and simulation platform that is dedicated to the modelling and simulation of very complex systems. What do we mean by that? Systems like the one I just described in which you have different subsystems, each subsystem alone cannot explain the global behavior. In a complex system, sometimes they do not evolve at the same pace. >>>

Thought Leaders in Artificial Intelligence: Michel Morvan, Co-Founder of Cosmo Tech (Part 3)

Michel Morvan: The CEO has to decide to delay these investments and to use the money for some maintenance for some other equipment. To solve it, they have to make choices. This is the first problem. At the same time, you have the renewable energy entering the system. This changes the way some types of equipment are aging. You have to take that into account when you make your decision on what to delay and what not to delay.

These happen in the context where a great part of all the employees are going to retire in the next 10 years. If you change your policy for maintenance or renewal, you will need different employees having different skills. You have to put in place an HR policy that will take that into account. If you don’t do that, you will have a plan to maintain and nobody will be able to do it. >>>

Thought Leaders in Artificial Intelligence: Michel Morvan, Co-Founder of Cosmo Tech (Part 2)

Michel Morvan: In general, the human brain is able to do two unique things. The first one is recognition. If I see you in a crowd, I will recognize you. It’s a black box because I’m not able to explain to someone how to recognize you. That’s the first unique ability of human brains. The second one is that we are able to understand what is happening and build things.

These are two very important abilities. We use them together all the time. For example, now you’re listening to me and you recognize the words. This is your recognition ability. You don’t think about recognizing the words. But you do more than that. You understand what I say. You are able to make the link between what I say and what you already know. You’re doing all these things together. This is your intelligence. >>>

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. >>>