Nicola

“As an example, suppose we want to translate a text from English to French. The noisy channel model for translation assumes that the true text is in French, but that, unfortunately, when it was transmitted to us, it went through a noisy communication channel and came out as English. So the word cow we see in the text was really vache, garbled by the noisy channel to cow. All we need to do in order to translate is to recover the original French – or to decode the English to get the French.”
― Christopher Manning, Foundations of Statistical Natural Language Processing

“The patterns of success and failure we see among firms faced with sustaining and disruptive technology change are a natural or systematic result of good managerial decisions. That is, in fact, why disruptive technologies confront innovators with such a dilemma. Working harder, being smarter, investing more aggressively, and listening more astutely to customers are all solutions to the problems posed by new sustaining technologies. But these paradigms of sound management are useless—even counterproductive, in many instances—when dealing with disruptive technology.”
― Clayton M. Christensen, The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail

“What’s our market share? Don’t know, don’t care. It’s irrelevant. Do we have enough customers paying us enough money to cover our costs and generate a profit? Yes. Is that number increasing every year? Yes. That’s good enough for us. Doesn’t matter if we’re 2 percent of the market or 4 percent or 75 percent. What matters is that we have a healthy business with sound economics that work for us. Costs under control, profitable sales.”
― Jason Fried, It Doesn't Have to be Crazy at Work

“Mike Roberts says, “Continuous means much more often than you think”),”
― Jez Humble, Lean Enterprise: How High Performance Organizations Innovate at Scale (Lean