M2M PREDICTION ECONOMICS IN 3 INDUSTRIES

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

How can we monetize on device predictions ?
Is the effort taken disproportionately large compared to benefits unclocked in predicting outcome ?
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

Comment

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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