Nasdaq Analyst Day
Bradley J. Peterson, Chief Information Officer
… in financial markets, you have to keep track of who owns what and who sold what. So, we think the innovation with blockchain, while the timing is probably later than my second technology I’m talking about. It still has a profound impact that you have this distributed record keeping system with high integrity that I think ultimately ends up for a lot of hard assets in cloud. So the cloud providers will naturally offer blockchain services. That’s why, as Tom mentioned, we integrated blockchain in an independent way. So that as we see different services available, whether they’re different winners or there’s just different alternatives for very quick recordkeeping change of ownership or more longstanding ones like housing and security assets, we think there’s different services and different flavors that were evolved.
So we need to be able to talk to both of those. So blockchain would be my technology and then, the second one is really machine learning and that one is here and now, what we’ve observed in our labs and what we’ve learned from the machine learning that has given computers vision through all the data you have with photos and videos, we’ve taken that analogy and said, how would we look at seeing the patterns in trade surveillance? And we can now start to see using the same techniques. We can start to see layer and spoofing emerge as very distinct patterns using machine learning.
So I think, that’s a very practical here and now application and improvement to what we are already doing in trade surveillance.