Explore and Design an Artificial Intelligent and Data Analytic Software model to address domestic water usage billing crisis in Botswana Urban areas

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.