Year: 2024
Type: conference-paper
Abstract: Urban water systems are increasingly strained by the impacts of climate change, growing populations, and resource constraints, driving the need for more integrated and sustainable management solutions. Small and Medium-sized Enterprises (SMEs) are central to driving this transformation, leveraging their adaptability and significant impact on the industry. However, many SMEs lack access to comprehensive Information Systems (ISs) that combine data on government policies, industry trends, and water management initiatives, limiting their ability to implement sustainable practices. This study introduces Sustain WaterBot, a Chatbot powered by Generative Artificial Intelligence (GenAI), including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Sustain WaterBot bridges this information gap by seamlessly integrating data from diverse sources such as news outlets, government publications, industry reports, scientific studies, and social media platforms into a unified IS. It enhances decision-making by providing timely and relevant insights into Sustainable Urban Water Initiatives (SUWIs) through an interactive Question Answering (QA) framework. By leveraging open-source technologies, Sustain WaterBot offers SMEs an affordable, scalable, and sustainable tool to adopt eco-friendly water practices while improving operational efficiency and informed decision-making.
Authors: Muhammad Arslan, Saba Munawar, Zainab Riaz
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4406499757