The biggest problem in the era of big data is finding people that can make sense and money out of it. There are a lot of excellent engineers specializing in collecting, maintaining and querying large volumes of data. There is a big shortage of people who can analyze big data with modern machine learning methods. This is the most difficult part of the data science profession, as it requires deep knowledge of mathematical algorithms. Ismion bridges this gap by offering Machine Learning classes to engineers and graduate students.
PaperBoat is Ismion's flagship product. A super fast and scalable library that can be integrated easily with other database platforms. A collection of more than 20 state of the art machine learning algorithms that run orders of magnitude faster than Mahout, Weka and other machine learning libraries. A series of algorithmic and implementational tricks in the architecture allow PaperBoat to be one of the best solutions for building machine learning systems.
PaperBoat now runs on the amazing HPCCSystems big data platform developed by LexisNexis the leader in data services. HPCC is orders of magnitude faster than Hadoop also equipped with ECL, a productivity language. Now it is turbocharged with the PaperBoat library. Now you can manage your big data and at also run high end analytics on the same platform at the same time.
The Logicblox platform, based on an enhanced flavor of Datalog called LogiQL, was the first platform to use the PaperBoat functionality in production. It has produced great results in several retail problems and other real world applications.