Sramana Mitra: Before we get to use cases, let’s set the context of how you are applying big data issues in your business. Martin Smith: In our business, every time we serve a piece of media or every time we measure a side activity, we create log records of that activity. On a weekly or
Sramana Mitra: I am surprised and also happy that you mentioned those names. How is it that you are suggesting that Tableau is not in the visualization field? There are [data] visualizations there. Stew Langille: They are. But [that type of] visualization is really an explanatory and an analysis tool. Visualization is an output that
Sramana Mitra: According to you, you are operating at the very end of the big data spectrum. There are infrastructure players that provide the infrastructure for big data to be processed and researched. Then there are the applications that provide the domain knowledge and the logic based on such data. You provide the presentation layer
Martin Smith is senior vice president of ad platforms and general manager of advertising technology company TruEffect. Martin has more than 29 years of technology experience in the U.S. and the U.K., having worked for Apple and for hardware and software provider Zones. In this interview Martin talks about how TruEffect uses big data to
Sramana Mitra: What I have understood is that the members of your user community belong to various categories. You talked about data scientists, bloggers, business users, and so on. Help me to understand where your real business is. Who are the paying customers? Stew Langille: The platform is driven by the community. That is why
Stew Langille is the chief executive officer and co-founder of Visual.ly. Previously Stew was director of marketing at Mint.com, where he built that company’s data business. He is a pioneer in the use of data as a marketing vehicle for both publishers and brands. In this interview Stew talks about how Visual.ly applies big data
Sramana Mitra: And what is happening in the financial sector? Derek Rodner: That was the third sector I was thinking about. So again, the three are genomics, meteorology, and finance. Dealing with global markets, dealing with statistical analysis, the intern space, which is a part of finance – all of those areas are definitely big
Sramana Mitra: You are primarily involved in the retail space, but what other industries are potentially big adapters of big data in regards to video analytics? Derek Rodner: Any public sector area. I am talking about airports, train stations, subway stations, and so on. [Governments are actually using this] now in city and state parks.