In her blog, she talked about Ayasdi just got $10.25 million in Series A funding. For what? Ayasdi's cloud-based Insight Discovery Platform uses distributed computing, machine learning, and user-experience technologies to take all the guess work out of massive data sets. In company's own website, it says "Solving Today’s Biggest Problems Requires an Entirely New Approach to Data" and "A New Way to Discover Insights Leading to Breakthrough Outcomes".
I was amazed by the following picture named "Big-Data Basketball". If I didn't read the note under the picture, I thought it was about the new discovered galaxies by NASA or some new genetic maps found by scientists. It is actually a topological similarity network of 452 NBA players during the 2010-2011 season. Ayasi used its software to discover patterns from those NBA players' data and broke down the player into 13 classifications beyond the 5 normal positions on the court ( point guard, shooting guard, small forward, power forward and center).
Then what? The result from the analysis could change how coaches and general managers think about the roles their players fill and help team win more games. Also, the analysis could help team find good players and potential good players. In other words, the software makes the Big Data create value (money). You can get more detail from the WIRED magazine article "Analytics Reveal 13 New Basketball Positions".
This use case also tells that this valuable analysis of big data was not done by those large companies like IBM, Oracle and Microsoft, but a startup.
Big Data provides huge opportunities to the startup companies.
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