Abstract
Research background:This research paper represents an overview of what artificial intelligence is, what are its roots, and what is the next big thing regarding the domain. In this paper we try to highlight how the domain is growing and what is the difference between the ideology, the business factor and the human factor. We try to create a big picture on the entire phenomenon by creating a parallel between machine learning, artificial intelligence and the influence of technological breakthrough from a hardware perspective.Purpose of the article:The paper is built as a tool in understanding technology, globalization and the pathway to success and scientific glory for what can be seen as the industry of artificial intelligence. The tools presented in the research have the purpose to create an easier path to how we can develop this domain by accelerating theoretical processing and business analytics that come together to form the next level of machine learning/artificial intelligence; research and development, everything being filtered from an economic point of view.Methods:The used research method is based on fundamental analysis of the artificial intelligence domain and its purpose in the complexity of globalization and economic development.Findings & Value added:The paper tries to offer a tool for building a better understanding of the next decade in the domain of artificial intelligence.
Highlights
We aim to obtain an intimate view on human behaviour and what it means to live a feeling, or rather to develop a feeling, from both a public and private standpoint (Androniceanu and Burlacu, 2017)
Surveillance cameras in buildings, public spaces, and police cars represented the first wave of objective video data, with the second wave being the content created by anyone who attaches a camera to a car, bicycle, motorcycle, helmet, or other object, and the new content created can be used as Data in the information process, with its aggregation at the macro level creating Big Data, which is subject to the issuing of licenses
The issue of privacy protection complements the situation's morals and ethics by the fact that every online and physical user generates a fingerprint accidentally, and by aggregating all means of introduction forms a digital DNA that cannot be observed otherwise (McIntyre, 2011). This evolutionary behavioural map can be built through online posts, discrepant use of punctuation depending on the condition, clothes worn depending on the event, and how to spend your free time, and it can be stored in the background latently, passively, and with an interruption of the data feed according to the graph, which could lead to an automatic alert of the authorities to be able to intervene in case of need
Summary
We aim to obtain an intimate view on human behaviour and what it means to live a feeling, or rather to develop a feeling, from both a public and private standpoint (Androniceanu and Burlacu, 2017). Corporations use a variety of analysis techniques, such as crowdsourcing, genetic algorithms, sentiment analysis, and neural networks, to study the data that drives an individual's evolution and can be used to develop new products or processes, as well as macroeconomically outlining new work policies (Balu et al, 2021). Data was gathered from a variety of sources (Ionita and Burlacu 2007). Known as data rivers, are large amounts of data that are constantly flowing and are effectively saved and rearranged to give real-time ideal solutions throughout a product's or company's life cycle (Ioniţă and Burlacu, 2007)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
