Use Case
A company possesses an almost countless amount of knowledge and information. Some is just in the heads of employees but most knowledge is represented in processes. A company can now take all the knowledge manifested in their current and past processes to develop knowledge models that have not been possible to decode and leverage so far. Accumulating all those data make up a powerful base for an intelligent and autonomous knowledge management system.
The Challenge
Businesses have tried to build ‘Knowledge Management Systems’ for centuries. But only with the inception of Generative-AI, knowledge management has opened a completely new opportunity. So far, software was defined by structured software, structured search, structured data, structured data entry and so forth. But that is not how we search for things. Unstructured search has been a breakthrough. But it still requested a gigantic effort on data entry. Generative-AI allows a change in the entire approach.
Degree of
Impossibility
This solution addresses a degree of impossibility with 10 out of 10. Building a complete knowledge management system that can answer any question related to company internal knowledge was not possible before. The manual effort to build, maintain, and expand on it was also not possible so far.
Because some aspects are possible even though at a high cost, we give it a 4-star degree of impossibility.
Core Benefits &
Values
The Autonomous Knowledge Management system differs in its foundation from any early attempt to build knowledge management systems. The autonomous system does not need to be painfully fed with information. Instead, it aggregates innovation, assesses its characteristics for containing knowledge and builds a care of a knowledge base. New knowledge is added and compared with existing knowledge and finetunes its own model. This model is accessible by anybody who is authorized. The level of authorization can vary and the access to certain parts of the knowledge can be restricted.
An added value of this autonomous system is that it takes knowledge not only from documented know-how, but can extract it from processes and day to day activities. Knowledge can come from transactions, communication, any documented information carrier. In addition, users can add to the knowledge base individually if there is neither a process nor any documentation available. A gamification system motivates you to add content and make it more fun.
What is
Unique
1) GPTBlue is building company-specific knowledge models that are only accessible by employees, selected employees, related partners, customers, or other selected users.
2) Knowledge can be clustered and segmented for specific users or for use across all clusters.
3) The autonomous system accesses processes and data within the organization on the fly and improves the system ongoingly – 24 x 7 x 365.
Full Use Case Available to Download Soon!
