OpenQA Solutions for Future-Ready Business Excellence
Abstract
This chapter explores how Open-Domain Question Answering (OpenQA) systems can contribute to future-ready business excellence by enabling intelligent access to organizational knowledge. It presents an integrated approach that combines the search and indexing capabilities of Elasticsearch with the contextual reasoning power of transformer-based language models such as BERT and GPT. A prototype implementation demonstrates how this hybrid design enhances information retrieval, scalability, and interpretability while minimizing unsupported generative outputs. The chapter further discusses challenges related to transparency, accuracy, and domain adaptation, offering practical insights for organizations aiming to leverage AI-driven knowledge systems to improve decision-making, innovation, and operational excellence in data-intensive business environments.
Fields of Study & Subjects
Topic Modeling
Information Retrieval and Search Behavior
Natural Language Processing Techniques
Publication details
- Journal / source
- IGI Global eBooks
- Pages
- 211–246
- Publication date
- 26 February 2026
- Language
- NG
- Document type
- Book chapter