Category Archives: Theory

Growth by Document

The current business has experienced pleasant success despite a challenging market.  We grew our ASP from $40,000 by nearly 20x, increased our industrial installation base by similar numbers and have figured out how to grow in a long sales cycle market. … Continue reading

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Believe the Team that is Doing It

Better batteries will definitely impact the automotive market, but there are a wide range of opinions as to how.  The US Department of Energy estimated that nearly 1.2 million such vehicles were part of the American automotive fleet as of … Continue reading

Posted in Methods, Policy, Theory, Uncategorized | Tagged , , , , , , ,

The World Economic Forum’s ‘Top 10 Emerging Technologies’

Nanosensors!  Autonomous vehicles! [Yawn.]  We’ve seen these before. Organs-on-chips? Optogenetics?!?  Now this is interesting. The Davos-based World Economic forum released a list of 10 emerging technologies that made a tour of the press a few weeks ago.  There is no … Continue reading

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“I hate your plan. (But I won’t suggest alternatives.)”

Names can create power.  Finding an existing accepted name is even more helpful.  I encountered a management challenge that has been hard to name. After circling the problem for a few weeks, I opened up Pirie’s, How to Win Every … Continue reading

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Technology Forecasting and Predictions: 2016 (7 of 7)

DTNS’s 2016 prediction show, #2657, was published on December 31, 2015 and along with the diverse group of hosts, there was a broad range of predictions in many areas. Virtual reality dominated from an air time standpoint.  With multiple big … Continue reading

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Tech Forecasting and Predictions 2015 (4 of 7)

After listening to six years of tech prediction shows  – it seemed only fair to add my own predictions based on industrial and slower moving technologies.  I’m attempting to follow the rules as laid out by DTNS and the observations made … Continue reading

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Tech Forecasting: Comments on 6 Years of Forecasts (3 of 7)

Over six years of prediction shows, when the hosts were right, they were very right.  When they were wrong, it was usually because they were too early or because of a surprise event in the area they were forecasting.  Most … Continue reading

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