Re: What is the current/future role of AI in the KM processes? #art-of-KM #AI #collaboration #methods #knowledge-capture
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Points well made. I tend to be a bit provocative from time to time. The “die” comment was a bit over the top and you are right to point it out. Regarding IT/OT architects and programmers, our company has lost money on IT programmers who just could not understand the idea of rational processes versus logical processes. It took others time to peel back the onion before they understood. Those where unexpected roadblocks that we could not afford at the time. Otherwise, I believe a new era of technology is in process, and a big part of that is occurring in the manufacturing industry. Some states have programs in place to help educate manufactures about the IT / OT convergence and how to understand and navigate the transition.
I believe this is happening across all industries. Small businesses focus is on services and products, then they focus on business process, then on systems, then on the integration of systems, and so forth. There is a clear maturation process that occurs as revenues and incomes increase. The question is, from our point of view, what kinds of OT can best accommodate these transitions? We believe that no code / low code is the answer on the low end, and more sophisticated integrations as the systems grow in complexity. For us, this means starting with systems that are Controlled Vocabulary-driven rather than taxonomy-driven as with AI and NLP (Natural Language Processing) systems. This brings us to the point of the Linguistic-Semantic Gap.
The linguistic-semantic gap is the friction point between IT and OT. IT utilizes taxonomies for the machine side, then tries to map those stripped down bits and bytes to the human user side. Something gets lost in the translation. What gets lost is the context, meaning, and purpose of the concepts people know and understand. So the question then becomes, how can a machine faithfully represent concepts and ideas? What are those? IT excels with modeling the physical world. There are objects, attributes (physical and semiotic) and processes - be they logistics of manufacturing, assembly, packaging and shipping. When it comes to semiotics (refers to, or references something else), the challenge becomes more complex, and finally, when we get into metaphysics we are in crazy space. But, we need to get there.
My vision of KM Future technology are screens that are concept-driven. They are knowledge driven and interact with people as if their were an associate or subject matter expert on any subject. They educate and convey simple to complex subjects in a language that people know and understand. They excite, surprise, encourage, stimulate, entice, expose new vistas of discovery. I like the Nancy Dixon's series on Organizational Dialogue, Guy Wallaces’s persistent messages about Instructional Systems Design and task/process modeling that reflects organizational goals and objective, Arthur Shelley Organizational Zoo, and Milton/Lambe ISO work, Patty Shanks work with Multiple Choice Questions, and many others. Their work, as with many others, is hero work. It is highly rational. It cuts new ground, it proves out human intelligence, IT is trying to kill it.
Finally, attached are two graphics that relate to this discussion. Not sure they will go through.
On August 17, 2021 at 9:23:58 AM, Ginetta Gueli via groups.io (ginetta.gueli@...) wrote: