In this segment of TLAI, we discuss use cases in life sciences, healthcare, and retail.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Exponential Machines.
Florian Quarre: I operate primarily in the field of healthcare technology. I have quite recently joined Exponential AI. Exponential AI is an AI platform focused on accompanying our clients through their digital transformation journey.
What we see is, there’re three prongs that we believe help our clients. Large companies can then go through the discovery of what AI is about and how they can use it within their environment. The first one that is core to our business is our platform.
The purpose of our platform is to bring together development and production of AI models so that we can evolve from a problem that you are tinkering on and have the ability to bring it all the way to production with the scale and strength of a business that runs millions of analysis.
The second part that we bring to the table, which is a differentiated factor for us is a methodology where we operate very quickly through prototyping, validating the business problems that try to be solved with data science and AI models, and ultimately move into production very quickly.
We demonstrate an understanding and a feasibility of solving problems very quickly, and not get stuck in oblivion. That unlocks the paralysis that is common with trying to solve too big of a problem with the wrong tools.
The final one that we’re looking to is differentiated techno-functional talents. When we go at a problem, we don’t go at it just from the angle of data or just from the angle of ops. We ask ourselves, from each of the vantage points, what is the techno-functional definition of a problem we’re trying to solve for.
How can we break that problem into small chunks, iterate extremely quickly with the use of various pre-wired models in our platform? As we express the problem in a business fashion and look at it from a data science fashion, we bring together an assembly of answers that allow us to move forward very quickly.
That’s the positioning for Exponential AI. It help our clients think through the problem through the lens of decision intelligence and making better decisions with data that they might acquire from a very disparate set of data sources.
Sramana Mitra: What kind of customers do you go after?
Florian Quarre: We have a deep entrenchment in healthcare, finance, and retail, typically the medium to large organizations. It is driven out of relationships and the engagements we have with the project we deliver.
More than the customers, it is the type of problem that we go after. We go after large sets of unstructured or semi-structured data that is not organized well.
That’s where our clients work with us the best. We can break down the barrier of data ingestion, prepare the data in digital format such that the decision-making algorithms can be applied against it and derive actions that have impacts on their businesses.