Stuck With Subscriptions
There are major problems with the perpetual license model ("Power Shift," April 19, p. 47). A subscription might seem to be an answer, since the thrust of the article is that you can just discontinue it when you don't need it any more.
While the subscription model can be great if you're running standalone apps, you can end up going down the same long-term road as with a perpetual license. I've found that all too often, apps are built around or attached to these subscriptions so in the end, you can't really get rid of them without a lot of pain.
I.S. Asset Management, SRP, Tempe, Ariz.
Here's what I heard regarding the length of the critical path for improving our intelligence services: The problem is finding, screening, selecting, and training the large group of people with the language, cultural, and technical skills necessary to make the system work well ("A Tchotchke For Your Brainy Thoughts," April 19, p. 106). The absence of key language knowledge by trustworthy individuals is a minimum five-year problem just by itself.
I'm more concerned that the gap is closer to 50 years than five. Two generations sounds about right to correct this.
Technology and culture march to two vastly different drummers.
Let Companies Pay
Retraining IT workers is a good way to help those unemployed because of work moving offshore, but why do we as taxpayers bear the cost ("Senate Considers More Funds For I.T. Retraining," March 22, p. 30)? The companies that move work offshore to save money should participate in the retraining. Why should we as taxpayers clean up the mess so they can increase profits?
Dennis M. Johnson
President, Smith Johnson & Associates, Draper, Utah
Building A Mobile Business MindsetAmong 688 respondents, 46% have deployed mobile apps, with an additional 24% planning to in the next year. Soon all apps will look like mobile apps – and it's past time for those with no plans to get cracking.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?