Ted's main talk at Buzzwords was about how real-time aggregation and learning can work with Storm and MapR. In addition, he described how this can be extended to real-time learning for A/B testing. Source code for these experiments can be found at this link.
In lightning talks later in the day, Ted presented early results for mega-scale clustering to serve a k-nearest neighbor system, follow this link to see those results. And then he talked about pig-vector which provides a way to use Mahout with Pig. To get the early and difficult to build version of pig-vector go here.
Ted Dunning has been involved with a number of startups with the latest being MapR Technologies where he is Chief Application Architect working on advanced Hadoop-related technologies. He is also a PMC member for the Apache Zookeeper and Mahout projects. Opinionated about software and data-mining and passionate about open source, he is an active participant of Hadoop and related communities and loves helping projects get going with new technologies.