David Talby: We have two customers and two different specialties who do that on top of what we do. Quite a few companies have been building on top of our library to sell to different markets. We don’t intend to compete with our own customers. We intend to stick to that pass layer and focus
Sramana Mitra: How do you go to market? Is this a professional services go-to-market strategy? Technology-enabled services kind of strategy? David Talby: It’s a mix. It’s about half and half. We do software licensing and we also do professional services. Sramana Mitra: Is the professional service yours or is it outsourced or tied up with
Sramana Mitra: What technique do you use? Since this is not big data, you cannot use machine learning. Do you use expert systems? How are you setting these things up? David Talby: We do use machine learning and deep learning. We use a lot of deep learning and transfer learning. Now, we have our own
Sramana Mitra: Talk about the healthcare and life science domain-specific products. Is that all internal or is some of that also open source? David Talby: That’s our product. That’s a licensed product. We have two licensed products: Spark NLP for healthcare and Spark OCR. Spark NLP for healthcare is an extension of the open-source library
Sramana Mitra: If I understand this correctly, you have the NLP engine, which is fairly horizontal; and you are applying various domain-specific heuristics and workflows on top of that to create solutions for different use cases in different industry segments. Although they are all data science users, the workflow is different and the domain is
Sramana Mitra: Talk about customers that you are currently working with and also customers that you would like to work with. David Talby: We are most famous for our work on natural language processing in the stock NLP library. In terms of customers, we work in the health care and life science sector. The last
A terrific conversation about NLP and domain specific taxonomy building within the healthcare and pharmaceutical industry. 50% of the customers are ISVs building on top of their platform! Sramana Mitra: Let’s start by introducing our audience to yourself and John Snow Labs.