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Question & Answers on Enterprise Knowledge Base

Food for Thought​

AI allows to query proprietary and private data, both unstructured and structured data, using natural language.

Examples​

  • IT function of a company can offer a chatbot to answer questions about IT policies based on multiple documents and databases
  • An e-commerce company can offer a customer self-service to answer questions like “why has not my order shipped yet” by retriving information from different systems and creating an answer through AI
  • Create an informational report by combining information from multiple internal data sources

Key Questions​

  • What internal enterprise information is more convenient to be queried using natural language?
  • Is that information structured (e.g. data records in a database or application) or unstructured (e.g. pdf documents)?
  • What business processes would benefit from querying proprietary information in natural language?
  • Who (which roles) would benefit from querying proprietary information in natural language?

Implementation​

Answering questions on proprietary data in natural language can be achieved with so called “Retrieval Augmented Generation”. Check the following best practices for more details.