@dave Media theorist Marshall McLuhan would say that the camera is an extension of the eye. Like the pencil is an extension of the hand/fingers. For him it was never polemics, but just observation. With the camera people see differently than they do just with their eyes.
Good or bad is not so much the thing. We have tools; these are tools; use the tools. The visual record has certainly changed with the Internet and mobility. There's not much hope it will change back.
Yet...I do agree with you @dave -- too many people take pictures and don't observe what's around them. It seems to be more the natural state than the technology-alterted state. On a trip to the Grand Canyon I was snapping away, and finally said "I need to put this camera down and look at this place in front of me." And I did, and I saw different things. As I sit here in 23 degree temps I do look at those pictures on the wall and remember the experience. I found my balance, more or less.
For most machinery and equipment owners, the question is not if to "Value Engineer" but only when to and they wait for engineers or users to ask for it. However, the precarious situation is not that engineers have to prove to the bean counters that investment needs to be made in reducing the cost or increasing the value of our machinery, but to prove to themselves that there is an immediate need to increase the intrinsic value. The most common inhibitors to value engineering in my opinion can be the following:
1. ROI: I will not be able to justify the investment in such tight economic situations, in such a proposition that has lot of uncertainties in the outcome. 2. Time: Our engineers have their hands full with day-to-day engineering activities. 3. Denial 1: No, my machine's value cannot be increased without modifying its functionality. 4. Denial 2: There can be nothing that we have not tried before.
Why do you think we normally drag our feet when it comes to Value Engineering?
great summary David, we can't over emphasize that big data is here to stay, as you pointed out, making sense of the flood of data an enterprise will get from all these sensors and devices will be a huge task. Becoming a CIO will be a challenge more than ever, a true jedi knight will definitely be needed.
David Wagner7 Things in the Air at Gartner10/24/2013 11:50:46 AM
@Curt- True, but not all countries or other types of geographical concentrations are built the same. But as you point out, this isn't the problem with the idea of cloud manufacturing for a single company. This is the problem of the large scale...
@David, even when there are national concentrations there are generally options within the countries. If you build your product around a component that has only a single source, that's a design decision. It might or might not be a good decision,...
For instance, there aren't very many places right now except Japan to get certain components for computers. That isn't because other places couldn't make them. It is because other places surrendered the market in order to specialize on somehting...
Multiple sources of silicon? Awesome. multiple sources of programming contractors? Harder, but possible. Multiple sources of people dealing with your proprietary data to build a new product for you? Frightening to most.
@David, the nice thing about cloud manufacturing is that it should be much easier to route around knots in individual hoses. There are thousands of fab operations around the world who would love to pick up emergency work building just about...
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