Abstract:
The rapid development of Information and Communication Technology (ICT) in water sector has greatly
enhanced the management of water energy resources, water usages projections and integrates water
information asserts into one dashboards screen for reporting decision making purpose. Information
Technology intelligent tools like Artificial Intelligence and Big Data Analytics (BDA) are the cornerstone
of assisting water utilities corporation Botswana on water billing crises, problems and provide relevant
and reliable information for household water meter reading data collections. The research has explored
and studied AI and data analytics as a solution to address high domestic water billing crisis in Botswana
cities and towns by WUC. Artificial Intelligence has big impacts on numerous areas of expert system
commonly used now days to resolve complex problems like in water sectors engineering, business,
medicine, etc. The Artificial Intelligence technology is applied to improve the quality and efficiency of the
services (Pannu, 2015). The integrations of AI and data analytics has been identified by these study as
a technological tool as a remedy for WUC Botswana to manage water management issues appropriately
as per these research study. BDA receives, process and transform data into knowledge that water
utilities corporation (WUC) Botswana may utilize to manage water usages and consumption from
domestic house hold facilities in an efficient manner (Ghernaout et al, 2018). Accurate data collections
from smart meter reading through Artificial intelligence devices, analytics and decision framework
through data analytics applications may enable water utilities corporations to manner water resources
effectively in Botswana. The study utilize RPC communication protocol and SOA as web service architecture as
the backbone of the proposed Enterprise integration systems for WUC. The network architecture of the solutions
employ internet of things (IoT) of smart meters across the cities and towns through telecommunication
authorities. The study has performs data collections and results analysis based on Household meter
readings collections, ICT implementations factor, AI and Data Analytic Design operational Factors and
Benefits of AI and Data analytics software model to WUC. 87% of the study feedback are agreed and
proved to requirements of proposed study solution.
