Publishers are using Big Data and machine learning to optimize what ads to put in front of their audience. This discussion delves into the depths of that process, and also explores open problems in that world. Sramana Mitra: Let’s start by introducing you to the audience. Tell us about yourself as well as about PubMatic.
Sramana Mitra: Give me a good use case of deep learning that you would apply that technology to and which is an interesting problem to solve. In other words, share with me a pain point that deep learning would solve elegantly. Dave Copps: I think that the use case I find most fascinating is visual. We’re
Dave Copps: Customers are primarily using Discovery Five for e-discovery and litigation support. When companies are taken to court and there are tens of millions of case documents, they use Brainspace Discovery Five to build a brain on those case documents. That product is interesting. I’d like to call it augmented intelligence. We built it in a
Dave Copps: I heard a term the other day called feral knowledge. How do we start to tame the wild? How can we find answers in that large environment? It’s a lot different from what you’re talking about for sure. If you have a simple environment, that’s a very good environment to use a keyword
Sramana Mitra: Talk to me a bit about adoption. The concepts and the ideas that you’re talking about have been around. After doing three startups, I did 10 years of consulting before I started One Million by One Million. Even in the early 2000’s, there were companies that called themselves knowledge management companies that did
Knowledge management has been around. What has changed? Read on for more discussion on the subject. Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Brainspace. Dave Copps: I’m the CEO of Brainspace. We’re a software company headquartered in Dallas, Texas. We built a large-scale machine learning platform that is
Sramana Mitra: Where does your core technology team expertise come from? Where in Italy do you have these computer scientists? Luca Scagliarini: The actual technology was built through a private effort. It was all done by us. Obviously, we are working with different universities. Sramana Mitra: When you say we, who’s we? What is the
Luca Scagliarini: With the approach we chose, which originally was thought to be something that could not be implemented in the real world, we reached a good level of understanding. I think there’s more room in terms of being able to process content that comes from different domains in a much more effective way. For