Boolean Operators and AI? I Am Confused
I may be totally off base on this, so jump in and straighten me out. These days, you don’t see any news, portals, or periodicals that don’t push how wonderful artificial intelligence (AI) is. But I am not going to get into a debate on the benefits and drawbacks of AI right now.
In traversing the Internet, I have come across many software vendors touting they are using AI in their products. I ask myself, when did this happen? One day you don’t, the next day you do. Too bad they are not Pinocchio, we could get straight to the heart of the matter and eliminate the wheat from the chaff. So we must discern for ourselves.
Unfortunately, clients often base their purchasing decisions on vendor gobbledegook. And at the end of the day, vendors are salespeople. Not that all salespeople are always trying to rip you off, but after being in marketing for as long as I can remember, there are several software products I have come across that made me wonder how to create a believable promotional plan. I transgress.
Ok, we now have all these vendors – security, classification, enterprise search, migration, text analytics, content management, records management, and the list goes on. My primary goal is to determine the ‘how’ of what they are doing. In my world, that would be metadata generation, classification, and taxonomy management.
Here is my confusion. They plaster their AI capabilities all over their websites. Getting down to it, to extract specific content they rely on using Boolean operators. Some have called their offerings easy-to-use, and act as if they are the best thing since sliced bread. I do not think they are easy-to-use, but I am technically challenged.
Now we have written our Boolean expression, the next step test it. How? Often. It’s you who figures out quality data, and I stress quality, which is valid and trustworthy. Next, run a test. Arghhh, it didn’t work. Back to the drawing board to tweak the rule. You keep executing this rule until you have finally honed it to retrieve exactly what you are looking for. On to the next rule. Someone tell me, where is the AI?
Concept Searching has never relied on Boolean expressions. Eliminating this core component in solutions, there is no need to write complex Boolean rules or for reiterative training and testing sets. The taxonomy – hierarchy – nodes can be automatically generated from the compound terms found in the document corpus. Taxonomy administrators have full control of the terms to be used, as well as the weighting of the terms, based on their relevancy. This enables a much more robust end result, as the terms are suggested based on the organization’s own content, and administrators are offered new terms from relevant documents that may not have been identified.
Our conceptClassifier platform delivers intelligent metadata generation, automated classification, and taxonomy management. Unlike traditional technologies, these data discovery and classification results enable organizations to overcome the seemingly insurmountable challenge of identifying intelligent content in context.
The ability to identify organizational risk using this highly granular approach is flexible, and has proved exceptionally useful in addressing business process failures in discovery, records management, information security, migration, text analytics, and secure collaboration. Actually, any application that could use quality, multi-term metadata.
Boolean operators: Efficient – no. Productive – no. Error-prone – yes. Costly – yes. Need trained personnel – yes. Need to clean up your data first – highly recommended. You decide.
If you would like to tackle your metadata problems, we still remain unique in the industry with our ability to generate multi-term metadata. Need a third-party opinion? Read about how we were recently identified as a strong performer and a provider that matters, in the latest file analytics report by a leading independent research firm.
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