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Can Analytics Outperform The Machine Whisperer?
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EmailZola
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EmailZola,
User Rank: Apprentice
10/21/2013 | 5:38:28 PM
re: Can Analytics Outperform The Machine Whisperer?
I was going to relate to ACM that in the specific www.cloudfridge.io case, the failing sensor's presentation wasn't false (either positive or negative) per se, but an out of range value (a digital '11111111' string), apparently intended, but not that clearly documented, as a 'warning flag' - as an example of how IoT designs can among other benefits provide greater process transparency.

Similarly, I'd thought about mentioning that my own decade in computer manufacturing quality (when the US was still exporting) included stopping the line when a audit deviation was encountered, not as it were to "shut off" the sensor, but to replace it.

My enthusiasm along these lines was more than a bit chilled on the "all these complex systems" topic when the (English language) Fukushima report links found below reached me today:

http://www.osaka-gu.ac.jp/php/...

http://www.osaka-gu.ac.jp/php/...

Reading past all the blame-mongering is made clear that even the most advanced designs are vulnerable to human misunderstanding - perhaps the IoT redemption lies in lucid system semantics.
ChrisMurphy
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ChrisMurphy,
User Rank: Author
10/21/2013 | 3:12:36 PM
re: Can Analytics Outperform The Machine Whisperer?
Interesting use case for IoT in product development and 'preventive analytics', one I haven't heard voiced. It's certainly true that catching a design flaw in development is the cheapest fix.
ChrisMurphy
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ChrisMurphy,
User Rank: Author
10/21/2013 | 3:08:52 PM
re: Can Analytics Outperform The Machine Whisperer?
You make an excellent point. GE often cites the 1% example -- a 1% productivity increase in some factor (airplane fuel efficiency, for example) could save $XYZ million a year. You raise the flip side of bad data that costs that $XYZ million. There is a risk-reward analysis here for sure.
Drew Conry-Murray
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Drew Conry-Murray,
User Rank: Ninja
10/18/2013 | 9:11:42 PM
re: Can Analytics Outperform The Machine Whisperer?
I wonder about false positives (or false negatives, for that matter) whenever I hear about how great it will be to have sensors monitoring all these complex systems. More data doesn't always mean the right data. Imagine how quickly these sensors will get shut off if a few false positives halt production on a factory floor.
EmailZola
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EmailZola,
User Rank: Apprentice
10/18/2013 | 7:21:00 PM
re: Can Analytics Outperform The Machine Whisperer?
A better if not 'the correct' answer here is "both" predictive analytics and the Internet of Things (IoT) in the grand vision of a cloud mediated info-sphere (CMI(?)) - as those of us blessed by or from more than one information revolution weathered can relate, since the steam drill challenges John Henry most by mimicking his behavior, the best evaluators are often cooperating practitioners, but once the respective learning curves align sufficiently for a repertoire transfer, the machines are stuck with the work tasks and the surviving human interest relates to managing the machines.

Chris' article mentions the fuel pump infant mortality scenario as favoring IoT over predictive analytics - it would certainly make a real-world driver happier - yet in actual practice, broader benefits inure as fault/exception data from the pump reaches the (above posited) CMI, where the faulted device's profile would be touched, perhaps updating manufacturing quality data sets used by predictive analysis.

It's also become clear to me recently that IoT oriented designs can prove valuable in project development long before there's data sufficient to drive predictive analytics, leading to 'preventive analytics'. Here an anecdote: what appeared to be a firmware bug in a www.cloudfridge.io alpha test turned out to be a failing 3rd party thermal sensor chip. I think the best "whisperer: would be compelled to do mechanical replacement to ID the problem, locally inconvenient, highly intractable in deployment.
RobPreston
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RobPreston,
User Rank: Author
10/18/2013 | 2:29:03 PM
re: Can Analytics Outperform The Machine Whisperer?
In many cases, predictive analytics won't replace human judgment and analysis, but augment it. I don't think I want computer software diagnosing my illness, but I would like to see my doctor drawing on all the data she can.
D. Henschen
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D. Henschen,
User Rank: Author
10/18/2013 | 2:19:48 PM
re: Can Analytics Outperform The Machine Whisperer?
Humans are very good at picking up on patterns. Think of the doctor who has sense of where the patient's condition is headed. Or the guy on the shop floor who knows the machine is going to go down when he hears a certain sound. But by the time the symptoms are pretty obvious, it might be too late to get preventative. One promise of sensoring is to pick up on the earliest warning signs that humans might not recognize quite so soon. The concept of learning from history and patterns of behavior is not new. The internet of things holds the promise of a computer-assisted, methodical way of putting the approach into practice where it can really pay off.


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