Skip to main content

What a Robot Really Wants

Dean made an interesting point on the TOWER Blog today about the future of ECM, and its relationship to Knowledge Management.

Having the information at your disposal becomes a lot more valuable when you can use contextual information from other related content to analyse exactly what you have. It's just like Simon was saying about Pandora - real value comes from analysing multiple classification axes - not just one. As always, somewhere there's an academic at work on the problem - the article on Faceted Classification has some good starting points...

It reminded me of an article that I wrote for KMWorld, a publication that deals extensively with knowledge management, about robots, and how you need to empower decision makers with information.Funnily enough, when I tried to find my paper, there were a bunch of third party vendors who were charging money for me to read it. So I thought that I'd just post it here for free:

What a Robot Really wants…Knowledge at the point of decision
By Gordon Taylor, TOWER Software

A small, two legged robot stands atop a glass topped coffee table. On its two dimensional world, it has to contend with a pot plant, an old TV guide, and several coffee cups, along with the ever present danger of plummeting over the side towards the carpet below. As the robot navigates its way around, a constant evaluation process occurs inside its software ‘brain’. First, information is collected through its sensors. Secondly, that information is analyzed, using a decision tree to determine the optimal course of action.

What do the adventures of this robot have to do with knowledge management? It’s more important than you might think. You see, right before the robot takes its next step — once this simple two stage process is completed, the robot could be said to ‘know’ something. It’s collected all available information, and analyzed it. Knowledge is created through analysis of information.

So the effectiveness of our robot friend — or if you like, how ‘smart’ it is, depends directly on two things — the accuracy and relevance of the information supplied and the effectiveness of the evaluation process. Poor information, through faulty sensors or too few sensors, will result in an inaccurate picture being fed to the decision making processes. Poor analysis will lead to bad decisions, regardless of the quality of information supplied.

Now I’m sure you saw this analogy coming, but face it — your enterprise is exactly the same. To create a smart enterprise, you need to have a stable, reliable information base, and the analysis tools that allow you to create valuable knowledge — knowledge that fosters good decisions.

Information management has been refined over the years, to the point where most enterprise architects are including a central structured repository as part of their information architecture. ECM systems, built on solid data storage solutions, are the platforms that facilitate these sound information management policies.

At the heart of these information systems, is metadata — data stored about the data you store. By monitoring, storing, and indexing specific information about your business content, ECM vendors allow their customers the ability to easily find any piece of information, and its relevant business context, quickly and efficiently. These systems are built on information management policy and principles that have been around for a long time.

So, if your organization has a sound ECM policy and system in place, it’s not likely to fall off the coffee table because of poor quality information. The next generation of Enterprise systems will focus on how to manage the analysis of that information base to support your decision making process.

The DIKW Model is an information hierarchy that’s frequently cited when trying to address this problem. The model was originally recorded in a 1932 poem called The Rock from TS Eliot:

Where is the life we have lost in living?
Where is the wisdom we have lost in knowledge?
Where is the knowledge we have lost in information?

In the modern, slightly less poignant implementation of the DIKW model, we find four layers:

Data
Information
Knowledge
Wisdom

Nowadays, thanks to advances in data storage, the science of information management, and the implementation of these systems in ECM products, the transition from data to information is largely a solved problem.

Getting from information to knowledge is much more difficult. Knowledge includes the ‘how’ aspect of a problem. Returning to our robot, it’s the analysis of the information that tells it ‘how’ to proceed.

Current efforts at solving this problem are varied, and you’ll probably recognize them as the more modern features provided by ECM vendors. Collaboration — allowing people to discuss and share information in order to facilitate progress. Workflow — prescriptive, best practice knowledge defined by a business process analyst is another attempt to provide ‘how’ information. Content Management tools, like Blogs and Wikis all provide additional published content around a topic — more published analysis to help people decide which step to take next.

Tools like these are striving to bridge the conceptual void between information and knowledge. While the jury is still out on how effective they are, the challenge is considerable. The next time you need to evaluate a system for inclusion in your Enterprise Architecture, consider how well it bridges this gap. Think like a robot. Do I have the right information available? Will this system enable me to make better decisions? Without a careful approach to both aspects, you could end up on the carpet.

Comments

Popular posts from this blog

Going West vs Going to Sleep

Phew! That was one busy adventure to the other side of this wide brown land (It is wide, and brown, but mainly wide) TUF 2005 in Perth was the launching ground for our new product, ice. Stilly and I were presenting the keynote, which was based around showing off ice, and talking about collaboration and other reasons why a bunch of customers might want to buy it. In a stroke of genius\insanity, we decided to let the audience pick the demonstration platform based on random outcomes - we built a giant cardboard die with various operating systems and platforms written on each side - then we'd let a volunteer from the audience roll the dice(die?) to determine which platform we should do our demo on. ice (the italics belong to the marketing department) works on any platform, so we were pretty confident that we would be okay. But, what I hadn't counted on (those italics are mine), was my crummy laptop (which was acting as the server) deciding that it would be a good idea to hibernat...

Considerably smaller than Texas...

Well, after jonron 's nagging, I figured I better post something! It's weird - being so far away from home and in such a strange foreign place - you'd think that I'd have all kinds of things to say, but in truth most of the time I'm either so busy with work that I don't have time to post, or so lonely that I don't want to burden you all with my misery... (sob!) Anyway - I'm currently posting from the Best Western Hotel in Corpus Christi, Texas . (We have a TRIM Customer here who needs some help with configuring their records management system, so Simon and I have been helping out. ) I'm not sure that I'd ever want to stay at the Worst Western. Or even the Average Western, but no matter... Texas has been a pretty entertaining place to visit. Our efforts at finding a place to park ended in a church parking lot where the sign said "Clergy Only - Sinners Will be Prosecuted (and towed)" When we finally found the office, there was another gi...

Dreams of a night on the TRIM

Disclaimer:People's dreams are often not very interesting to anyone but them. But this was so weird I had to write it down. I don't know what it means, other than to highlight the fact that I'm a little deranged. All companies and people in this dream are actually me, and almost definitely wouldn't behave in such a fashion in real life. No correspondence will be entered into. Shimmery Dissolve in In my dream, software was alcohol . Everybody was drunk all the time, because of the amount of software in the work place. Big companies like Microsoft and Oracle were in the business of getting people shitfaced at big conventions, where they'd teach you about the alcohol molecule and how they'd added a new hydroxide molecule. Microsoft called this directDrink. IBM had a reputation for taking out the CEOs of large enterprises and getting them all really drunk, thus mandating more IBM liquor (which was blue) be bought and drunk by millions of government employees around ...