I know; I am a fanatic on this issue. It is something that bothers me a lot. Futurists are calling the time we are in the information age. But big consulting companies are running around selling digitization. We can’t have both. It is the reality of where we are now. The reality is we are still in the age of acquisition, not the information age yet. The futurists and, well, about everybody loves that good tag ling, though. I have over the years published several papers on the topic of digital lifecycle management. I even invented a process that involves human and automated systems to capture, manage and keep fresh. You see, people seek information in one of two cases.
The first is they want to learn something. The second is they are solving a problem. In both cases, the information returned has to be valid. When we are truly in the information age, data validity will be easier to manage than it is now in the age of information acquisition. We don’t have proper information filters in place yet. In a Robert Heinlein book many years ago, I read the line “Quis custodiet ipsos custodes?” It translates to who will guard the guardians. If information is critical, who protects it? I don’t mean just copyright infringement and IP/IC theft (sometimes called industrial espionage). Rather I mean, who will keep the information valid? Making sure it is still the right answer?
I outlined the system I call DLM in my book Transitional Services. IP management is critical for companies building and providing professional services. Why? Put over time, you have to charge customers less for building solutions. They won’t always pay to be first. They will deliver to catch up but, they expect catching up to be cheaper. That is the value of IP. IP or Intellectual property is how consulting companies build solutions quickly. An IP management system that allows for information to age (all data has time to live) is critical. But the other side is that sometimes information changes. When the answer to the question is left, the confines of the problem must remain the same.
In the world of Machine Learning and Artificial Intelligence, we look for IP/IC systems that can do the initial pattern matching when someone asks for help (try a google search and Bing search with an odd question and see what you get back – how many goats would it take to mow a 32.4-acre lot twice a week. Once that answer is produced, it is critical that the system store that for the next person that asks that question. But it also needs to be validated. There are many species of goats, and some eat grass faster than others. Digitalization has to support the three concepts of IP/IC management. Capture, input metadata, and validate. The last step, validate has to happen many times for the system to remain effective!
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