Sramana Mitra: Is there anything else you would like to discuss? John Plavan: The main thing I want to address is that we are not a big data company, but we benefit from big data processes. This kind of [technology] has a huge economic and human benefit that comes from being able to quantify relationships
Billy Bosworth is the CEO of DataStax, a big data company based in San Mateo, California. It provides a scalable, flexible big data platform built on Apache Cassandra. DataStax has more than 250 customers, including startups and several Fortune 100 companies. Billy got a degree in computer science from the University of Louisville and counts
Sramana Mitra: Could you take us through a couple of use cases of how your customers use your product? John Plavan: The easiest one to explain is last winter, because it was such an extremely warm one. I think it was the warmest winter on record in the U.S.* Going into the winter, around October,
Sramana Mitra: In terms of the heuristics you use to make the correlations, what is involved in that? John Plavan: We use machine learning, generic algorithms, network techniques, and basic statistical techniques. It depends on the type of data and how we have quantified it. We use a rotated empirical orthogonal function to define an
Sramana Mitra: Basically you work with the online budgets of these companies? There are obviously print, TV, and radio budgets that operate orthogonally from your budget. Those are areas that are still largely manual. Bill Simmons: That is true. SM: What about the big data problem in general? What other areas are you tracking that
Sramana Mitra: Let’s get down to the specifics of what you are selling to these energy traders. John Plavan: We sell subscriptions to a software as a service web-delivered product that enables our clients to identify extreme risks for extreme heat or extreme cold events. They use that information as an input in their energy
Sramana Mitra: Is DataXu a 30 percent services and 70 percent products kind of company? Bill Simmons: Currently, the majority of our customers are managed service clients, but we continue to see an uptick in self-serve clients, and we expect that to continue in 2013. I think the reason our technology gets adopted is because
John Plavan is the CEO, cofounder, and chariman of EarthRisk Technologies, a company that uses big data tools to create weather forecasts, especially in the fields of high and low temperatures. The special thing about EarthRisk systems is that they can create forecasts up to 30 or 40 days prior to any respective event, far