Keyword

Transformation Projects, Virtual Reality, Strategy, Enterprise Architecture, Geopolitics and Holism, Security, Artificial Intelligence, Manager's Profile, Enterprise Architecture, Critical Success Factor

Abstract

Major conflicts and wars are the fundament and important drivers for strong economies and their expansions. Military institutions are the ones who drive major technological transformation, evolution and innovation trends; like the USA’s Défense Advanced Research Projects Agency (DARPA), which developed the Internet… Military technology transformation and innovation projects depend on financing capacities, geopolitics, economical strategies and demography. Countries, Armies, and institutions (or simply Entities) are increasingly using avant-garde technologies to gain substantial defence, geopolitical and economic advantages. Entities are today, facing new challenges and eventual risks, when implementing their vital organizational defence concept and distributed Information and Communication System (ICS). It is important to find the right balance between, Optimal Innovative Military Technology (OIMT), biotech’s evolution, military strategy, geopolitical context, combative capabilities, and the evolution of demography, which is probably the most important factor. The stability of an Entity depends on a well-defined OIMT Strategy to support the Entity’s evolution. This article proposes the fundaments of Artificial Intelligence (AI) to support Virtual Reality (VR) for OIMT (VR4OIMT) integration. The author’s Applied Holistic Mathematical Model (AHMM) for VR (AHMM4VR) is the result of research on AI-based VR, business, financial and organizational transformations using a mathematical model’s concept (Trad & Kalpić, 2020a). The AI based VR4OIMT manages and evaluates VR activities in projects, which are complex. Weightings of factors and areas are used as variables in the VR4OIMT. VR’s main problem is peoples’ addiction and subject areas’ complexities, due to the excessive use if VR based videogames which have exponentially expended and making decisions based on simple simulations (Acer, 2018)


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