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Using Information and Communications Technology Advances to Leverage the Search of the World New Balance with Less Resources -Part 3-

Victor Greu

Romanian Distribution Committee Magazine, 2023, vol. 14, issue 3, 15-24

Abstract: The paper analyses the context of World dramatical crises, which is facing unprecedented phases of global warming, Earth resources fading, social unbalances or geopolitical crises. Practically, if we obviously could not prevent and avoid all this “flood†of emerging consequences and disasters, we should use all human and technological resources and potential in order to find updated ways to reduce their impact on Earth and humankind present and future, including information and communication technology (ICT) advances like artificial intelligence (AI), Internet of Things etc. The role of ICT in the Information Society (IS) on the way towards the Knowledge Based Society (KBS) is largely recognized, but this, naturally, should be updated by the appropriate refined knowledge and solutions/applications, oriented for the dynamic World context changes/crises. Although AI actually is dramatically influencing a large range of IS/KBS domains, perhaps inside ICT areas the impact could be crucial, adding then major implications in all Earth zones where ICT products, applications and services have global penetration, as we analysed for some examples. First, the approach of AI on global industries seems to have similarities with ICT models, where terms of infrastructure, message or personalization could suggest the specific benefits of AI, but more than these, a further integration is needed for different scenarios (customer employee and infrastructure focused). A more concrete approach/example, belonging to the prestigious organization of IEEE (World larger organization of professionals), is pointing the crucial role of engineers in this global striving against „all odds†, even by pointing some crucial areas of human needs, like water, energy or sustainable farming. Further, we have analysed some trends in ICT to discover the efficient innovation that could prevent or minimize (if not avoid) the consequences of actual or future World crises, which are, in realistic expression, caused by the unprecedented high level of complexity, incertitude and critical unbalances the Earth ecosystem and humankind evolution reached. This way, identifying such hidden links, between visible events/trends and potential critical evolutions could be a first, but essential, step in preventing and also in finding appropriate innovation approaches. Along with the complex problem of Digital transformation, crucial for all business context, it was confirmed the subtle approach of ICT models (to learn from), which provide success (as network infrastructures, applications and services) at Earth scale, due to the methods and algorithms used (to measure and analyse) before any implementation/investment phase. Another example/project, pointed some directions for AI/ML development, but it is confirming that an essential feature of ICT development, oriented for approaching the challenges of World crises, Earth ecosystem and even humankind (species) evolution, is the proper refining of knowledge, as crucial field of research and optimization for identifying factors that determine uncertainty. We think that such targets are extremely difficult in the complex, complicate but also very dynamic Earth ecosystem context, leading to the idea that timely and deeper analyses should be continued, along with the innovation approaches efforts which are needed at all levels of IS/KBS, in order to leverage the proper refined knowledge and stimulate all factors to follow the rational actions, before it is too late

Keywords: Artificial intelligence; Telcos; Network experience; Sustainable farming; Machine learning; Digital transformation; Knowledge based society; Uncertainty (search for similar items in EconPapers)
JEL-codes: L63 L86 M15 O31 O33 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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