Unleash the untapped potential of your organization by harnessing the power of Bloomfire’s AI-based knowledge management software platform.
Unleash the untapped potential of your organization by harnessing the power of Bloomfire’s AI-based knowledge management software platform.
Unleash the untapped potential of your organization by harnessing the power of Bloomfire’s AI-based knowledge management software platform.
All-in-One knowledge management system, combine Wiki, Q&A and AI with built-in workflow. Knowledge Management System - Wiki + Q&A + Workflow + AI
Artificial intelligence-based knowledge management software makes use of these technologies to improve the gathering, arranging, and retrieval of knowledge within organizations. These programs analyze and retrieve pertinent data from diverse sources of an organization using machine learning methods and natural...
The paper evaluates the phenomenon of knowledge management (KM) and its relationship to the artificial intelligence (AI) technologies of knowledge-based systems, case-based reasoning and neural networks. A knowledge value-chain (KVC) concept is established and developed into a closed loop knowledge ...
Knowledge base softwareHelp center softwareFAQ softwareInternal knowledge baseKnowledge management systemPartner portal softwareEmployee experience softwareClient portal softwareFree knowledge base softwareCustomer self-service portalsKnowledge management tools
Ensure responsible, transparent and explainable knowledge management systems As previously mentioned, chatbots are a popular form of generative AI-powered knowledge management system used for customer experience. This application can produce value for an enterprise, but it also poses risk. ...
Research on Safety Risk Pre-control Management System and Its Application in Coal Mines[J]. IOP Conference Series: Earth and Environmental Science, 2018, 170: 022181. [5]Fang C, Marle F, Zio E, et al. Network theory-based analysis of risk interactions in large engineering projects[J]. ...
We should promote the establishment of a testing and assessment system based on AI risk levels, implement agile governance, and carry out tiered and category-based management for rapid and effective response. R&D entities should improve the explainability and predictability of AI, increase data authent...