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Vittoria.io on how AI is transforming knowledge management for businesses
Artificial intelligence is revolutionising many areas and one of the most promising applications is in knowledge management within companies.
Vittoria.io explores the growing role of AI in knowledge management, highlighting key applications such as semantic search and automated data classification.
Knowledge management involves capturing, storing, organising, and sharing knowledge within an organisation. Artificial intelligence brings a new dimension to this process, automating previously tedious tasks and enabling more intelligent data exploitation.
- Advanced semantic search
One of the main applications of AI in knowledge management is advanced semantic search. Rather than simply searching for keywords, AI systems can understand the meaning behind queries. They use natural language understanding to find relevant information, even if the words used don’t exactly match.
Imagine an enterprise search engine that can answer complex questions like « What current projects requiring data analysis expertise have been launched in the last six months? ». AI can analyse documents and data to provide accurate, contextual answers, speeding up decision-making.
- Automated data classification
Knowledge management often involves classifying and organizing large sets of data, documents and information. AI can automate this tedious process by using machine learning algorithms to sort, label and organize data according to predefined rules.
For example, in a company dealing with a large volume of documents, AI can be used to automatically classify documents according to their content, date, source, etc. This speeds up search and retrieval, and reduces the time needed to process documents. This speeds up searches and ensures that data is easily accessible to all employees.
- Personalized recommendations
Another application of AI in knowledge management is the provision of personalized recommendations. AI systems can analyse user behaviour, interests and preferences to recommend relevant content.
In the context of knowledge management, this means that employees can receive recommendations on the documents, training courses or in-house experts that best match their needs. This promotes continuous learning and efficiency within the company.
- Chatbot and real-time assistance
These chatbots are able to answer employees’ questions in real-time, providing relevant information from internal knowledge databases. By being integrated into internal company systems, intranets, or communication platforms, when an employee has a question, they can simply interact with the chatbot via a chat window, ask their question, and the chatbot will attempt to provide an instant response using information from the knowledge base.
Artificial intelligence is playing a growing role in knowledge management, enabling companies to better leverage their internal knowledge, improve productivity, and make more informed decisions. As AI continues to advance, its impact on knowledge management is set to intensify, opening up new possibilities for businesses worldwide.
Source: Vittoria.io
