ENGINEERING ARTIFICIAL INTELLIGENCE FOR STRATEGIC MANAGEMENT OF EQUITABLE RESOURCE DISTRIBUTION IN NILE BASIN

Harb; Abd Alhameed

doi:10.29121/granthaalayah.v4.i8.2016.2558

Authors

A. H. Harb Business Administration Department, The British University in Egypt, Sherouq City, EGYPT
AKA Abd Alhameed Abd Alhameed Alsayyid Business Administration Department, The British University in Egypt, Sherouq City, EGYPT

DOI:

https://doi.org/10.29121/granthaalayah.v4.i8.2016.2558

Keywords:

Artificial Intelligence, Strategic Management, Resource Distribution, SME, Nile Basin

Abstract [English]

Uganda, Tanzania, the Sudan, South Sudan, Rwanda, Kenya, Ethiopia, Egypt, DR Congo, and Burundi all make entitlement claims to the ecological system of the Nile Basin. This region is rich in resources, yet prone to interstate conflict, drought, and other vulnerabilities. Water resource conservation systems, alternative purification systems, and rainfall stimulation systems programmed by artificial intelligence can facilitate the establishment of transboundary partnerships that reduce international conflict and serve as a foundation for economic growth and job creation in the Nile Basin region. Water conservation systems using artificial intelligence have been found to increase rainfall capture by an average of 1.5 billion gallons of stormwater per year or enough to provide clean drinking water for 36,000 people per year (O’Neill et. al, 2012). The ecological framework of Nile Basin’s various regions will determine the appropriate artificial intelligence systems that can be implemented to promote the equitable distribution the Nile Basin’s resources. These systems will lessen political conflict that can negatively impact the agricultural practices of Nile Basin farmers and inhabitants who depend on the Nile Basin’s resources for their livelihoods.

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