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 way that Brainspace can do a lot of the heavy lifting that people can’t do. A person can’t possibly read 10 million documents and remember how every word is related to every other word. Brainspace can do that.
We give people the ability to use Brainspace, interact with Brainspace and see the concepts and ideas that Brainspace is relating to your query. The other product is Brainspace Enterprise. That product is launching in three weeks. We have two very large Fortune 10 beta customers. I can’t tell you who they are. The idea behind Brainspace Enterprise is we want to turn the social curation of documents inside of a company into a brain. As people are curating, collecting, and sharing documents, Brainspace is learning from that curation, and forming those documents into an asset that literally every person in the company can now engage to connect with other people and documents.
Sramana Mitra: The collaboration stuff has not yet gained adoption. It’s just coming into the market. It’s more the unstructured data visualization where you make your money today.
Dave Copps: That’s right. We do have an OEM agreement with LexisNexis. We power patent search globally. LexisNexis chose Brainspace to provide technology for semantic search for all of the patents globally. We launched that with LexisNexis as well.
Sramana Mitra: Let’s go to the next line of questioning. Based on where you are and what you see in the market, what are some open problems? If you were starting a company today, what would you work on? Give us some open problems for new entrepreneurs to dig into.
Dave Copps: Deep learning. We’re going to start getting into deep learning. We’re sitting in a very interesting point in time. We have machine learning and AI right now. AI is going to progress into areas that we just never could imagine before. Machines are going to be able to learn and assist humans in ways that I think a lot of people can’t even fathom right now. I love deep learning. There is that company that Google bought called Deep Mind.
They actually hooked DeepMind up with Breakout. In a convention, they just let it run. You saw DeepMind actually playing this game and learning on the fly. After about six hours, it became as good as any person who ever played the game. In about 9 to 12 hours, it became better than any human that ever played the game. I shouldn’t say never but maybe not in our lifetime, we wouldn’t have computers that can reason and judge. We are going to have computers that are able to learn. Deep learning is very fascinating.
This segment is part 4 in the series : Thought Leaders in Big Data: Dave Copps, CEO of Brainspace
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