As the possibilities at the intersect of M2M+Big Data gets unlocked its very important to examine the economics underlying the use cases
So the core questions becomes

"What is the economic value of correct prediction in the M2M Big Data world ?"

  1. How can we monetize on device predictions ?
  2.  Is the effort taken disproportionately large compared to benefits unclocked in predicting outcome ?
  3.  Is the cost of incrementing additional sensors points to collect data worth the returns ?

In this blog Flutura would  share 3 real world examples of the economic value power of prediction in the M2M Big data world


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Tags: Analytics, Big, Data, M2M


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Comment by Chris on July 29, 2013 at 6:47am

Derick, do you have a profile in linkedin? Daniel Tunkelang has interesting links on economics& prediction

Leif Azzopardi: Economics in Interactive Information Retrieval    http://lnkd.in/tAeiT8                    

-detection from general mode to switching behaviors and prediction http://mathcs.emory.edu/~dsavenk/publications/pers_switch_pred_2013...

Comment by Chris on July 29, 2013 at 5:59am

Hello Derick,

Thanks for your patience even I pointed to a different direction than your focus!!! My apologies. I have to thank you for displaying 3 possibilities in machine interpretation and information integration. Will keep your topic in mind! Best, Chris

Comment by derick.jose on July 28, 2013 at 3:35am

Thanks Chris... Great read !!!

Comment by Chris on July 26, 2013 at 8:45am

Derick Jose, hi! bog down to one pragmatic point: physical capability of data smart grid. Oracle realizes it is time to think of investment on data, like in the health industry http://www.forbes.com/sites/oracle/2013/07/24/smart-grid-is-on-the-...

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