I totally agree with Doug that there is a huge difference between what makes a great engineering leader or visionary with what makes a great engineering manager. Given that product development is far more of a collaborative, interdisciplinary practice today, the need for people who can effectively communicate, problem solve, promote cross-discipline sharing and knowledge transfer, and motivate staffers is what's needed (and oftentimes lacking) in engineering organizations. It's a set of skills that often takes a back seat to technical skills. Yet given the high stakes of today's competitive climate and the overall lack of budgets and resources, managers that can effectively do more with less and still deliver great products are an invaluable asset.
Certainly, there is a big difference between what makes a great leader and what makes a great manager. In my mind, a great manager is someone who takes a group of individual people and makes them better, often much better, than the sum of the parts. In a good working environment, people learn from each other and start feeding off each other in a very positive way. That's a particular challenge in an engineering environment where traditionally much work was done individually or in very small cells. It's also a particular challenge in engineering because engineers can at times be perfectionists and have trouble sharing projects or letting them go. A person who can overcome these hurdles, even in small groups, is a great manager.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.