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Artificial Intelligence
Thought Leaders in Artificial Intelligence: David Talby, CTO of John Snow Labs (Part 5)
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 built-in buildings.
>>>Thought Leaders in Artificial Intelligence: Charlie Delingpole, CEO of ComplyAdvantage (Part 1)
This conversation explores the use of AI to create a database of questionable players to address money laundering and other shady behavior. Excellent PaaS strategy!
Sramana Mitra: Let’s start by having you introduce yourself as well ComplyAdvantage.
>>>Thought Leaders in Artificial Intelligence: David Talby, CTO of John Snow Labs (Part 4)
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 but it uses a separate code base and a separate set of models.
>>>Thought Leaders in Artificial Intelligence: David Talby, CTO of John Snow Labs (Part 3)
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 different. The oncology knowledge is different from the clinical trial identification.
>>>Thought Leaders in Artificial Intelligence: David Talby, CTO of John Snow Labs (Part 2)
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 NLP industry survey done in September was done by Gradient Flow. It shows that we have a 54% share of all the healthcare AI teams that use NLP.
>>>Thought Leaders in Artificial Intelligence: David Talby, CTO of John Snow Labs (Part 1)
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.
>>>Thought Leaders in Artificial Intelligence: Unbabel CEO Vasco Pedro (Part 5)
Vasco Pedro: From a more NLP perspective, there are a lot of use cases inside the enterprise that need an AI-first approach. They are not so obvious, but they are the scaffolding that enables other stuff to work.
For example, evaluation of human translation. We have a state-of-the-art system in quality estimation that does look at the output of machine translation and then it makes a real-time decision whether that’s good enough or if human intervention is needed. No one has figured that out for human translation.
>>>Thought Leaders in Artificial Intelligence: Unbabel CEO Vasco Pedro (Part 4)
Sramana Mitra: One of the trends that I am following closely is Platform-as-a-Service. We are in the middle of it because of what we do. We are working with various developer ecosystems and in conversation with various others to do stuff with them.
The Platform-as-a-Service trend is building up quite significantly, so people are building one use case fully and opening up their platforms to other developers to build other use cases. Is this a strategy that you are following or considering?
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