Sramana Mitra: You’re offering a free data model to your first client. That’s how you get access to the training data. Martin Neale: That’s right. Sramana Mitra: Give me a little bit of color on the kind of data you were able to access on which you’ve trained the model. What kind of heuristics does
Martin has built his AI startup within the Microsoft ecosystem. He shares interesting perspectives on how to leverage Microsoft. Sramana Mitra: Let’s start by having you introduce yourself as well ICS. Martin Neale: I’m the CEO of ICS AI.
Sramana Mitra: C3.ai is exactly like yours. They have a core platform. They’ve gone after the energy market first. They have relationships with the system integrators. Now they’re broadening. It’s a very similar strategy. There’s another company that I’m tracking that has a similar strategy. They come from an open source route which is H20
Sramana Mitra: We are doing an accelerator with Datastax. They manage the whole Cassandra stack. Their value proposition is the same – real-time, scalable, high availability, and high velocity processing of information from IoT. Does that make you competitors of Cassandra? Prashant Kumar: Suppose AT&T wants to use Cassandra, we can push data into Cassandra.
Sramana Mitra: Your use case is quite broad-based. You’re focused on the telecom vertical, but the use cases are broad. It’s not productized. You’re providing professional services style of use cases on top of a common data handling platform. Prashant Kumar: Yes. We are like SAP for telcos. The platform is agnostic to any vertical.
Sramana Mitra: Do you operate as a product or a services company? Prashant Kumar: We are primarily an ISV but we have a consulting part as well. We deliver use cases for the customers. Sramana Mitra: Let’s start with the Telefonica use case. It sounds like that is what you broke into the market with.
This is a deeply technical discussion about a specific layer of the technology stack where Data Engineering and other data related disciplines are handled. Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Cardinality.
Sramana Mitra: Very interesting. Where is the technology from? What is your background? Jeff Feng: It has been introduced and built for a thousand years. The 3D computer vision is not a new domain. I do have a research background in Computer Vision. It’s one of the domains in artificial intelligence. Initially, it was not