I am not citing studies which show a diminished number of thought leaders at the cloud computing area –that is only my opinion. But if you’re honest with yourselves, the majority of you may notice a big difference between the quantity of new thinking about cloud calculating these days when compared with the quantity in 2010.
What happened? A couple of things have changed.
To begin with, the word”cloud computing” is so typical that we have already composed and said pretty much everything that is intriguing. It had been common to throw out”the cloud” many times in meetings back in 2012, but today it only makes you seem desperate.
As of this moment, the cloud is a combination of many subdisciplines, including cloud-based databases, machine learning, IoT, even border computing. It is no more about the intake model around the usage of computing. That has been settled. It is about what is new inside clouds, the majority of which can not be found in your assumptions.
Secondly, the thought-leader distance has become too noisy. Back when I used to write for print publications, this one, only a couple of individuals could get their title into print. Later we replicated printing with internet tools, then finally only online tools.
I guess that specialized book readership is down, replaced by YouTube, Wikipedia, blogs, and training videos. Nothing wrong with those stations (I writer for many of these ), besides there are too many. It is hard to determine where your primary technology advice must come from these days. Having too many options may indicate you you need to look harder to find the good ones.
This isn’t really a complaint, more of an observation. As my customers, friends, and coworkers attempt to comprehend the wisdom about cloud computing, I have discovered that the areas where I point these are becoming less obvious. I guess this problem will get worse in the years ahead.
The solution may be aggregators. Rather than generating articles, the thought leaders of the future–for cloud computing, or any technology–may be the men and women who are able to organize the huge quantities of available data into particular items to see, follow, and experience.