OpenQA Solutions for Future-Ready Business Excellence

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Authors: Otmane Azeroual
Cited by: 0
References: 15

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