Apprenticeships – the learning model of «master and apprentice» is centuries old. Today, it is an increasingly common skills development policy employed by governments around the world. Apprenticeships involve a mixture of paid employment alongside job-specific training. Historically, apprenticeships have been concentrated in blue collar jobs, such as manufacturing. However, there are growing opportunities in professional services – such as banking, accounting, and consulting[58 - Apprenticeships – Text: electronic. – https://www.kuka.com (https://www.kuka.com/) URL: https://assets.ctfassets.net/txbhe1wabmyx/7pA4Tqgg77U2EspQfv5rdn/6130cbc6022e918a94e99a042caff63d/3-future-of-work-glossary-compressed-compressed.pdf (https://assets.ctfassets.net/txbhe1wabmyx/7pA4Tqgg77U2EspQfv5rdn/6130cbc6022e918a94e99a042caff63d/3-future-of-work-glossary-compressed-compressed.pdf) (date of request: 25.02.2023)].
Architectural description group (Architectural view) is a representation of the system as a whole in terms of a related set of interests.
Architectural frameworks are high-level descriptions of an organization as a system; they capture the structure of its main components at varied levels, the interrelationships among these components, and the principles that guide their evolution[59 - Architectural frameworks – Text: electronic. – https://implementationscience.biomedcentral.com (https://implementationscience.biomedcentral.com/) URL: https://implementationscience.biomedcentral.com/articles/10.1186/s13012-017-0607-7#:~:text=Architectural%20frameworks%20are%20high%2Dlevel,principles%20that%20guide%20their%20evolution (https://implementationscience.biomedcentral.com/articles/10.1186/s13012-017-0607-7#:~:text=Architectural%20frameworks%20are%20high%2Dlevel,principles%20that%20guide%20their%20evolution). (date of request: 07.07.2022)].
Architecture of a computer is a conceptual structure of a computer that determines the processing of information and includes methods for converting information into data and the principles of interaction between hardware and software.
Architecture of a computing system is the configuration, composition and principles of interaction (including data exchange) of the elements of a computing system.
Architecture of a system is the fundamental organization of a system, embodied in its elements, their relationships with each other and with the environment, as well as the principles that guide its design and evolution.
Archival Information Collection (AIC) is information, the content of which is an aggregation of other packages of archival information. The digital preservation function preserves the capability to regenerate the DIPs (Dissemination Information Packages) as needed over time[60 - Archival Information Collection (AIC) – Text: electronic. – www.umich.edu (http://www.umich.edu/) (date of request: 07.07.2022) URL: https://www.icpsr.umich.edu/web/ICPSR/cms/2042#A (https://www.icpsr.umich.edu/web/ICPSR/cms/2042#A)].
Archival Storage is a source for data that is not needed for an organization’s everyday operations, but may have to be accessed occasionally. By utilizing an archival storage, organizations can leverage to secondary sources, while still maintaining the protection of the data. Utilizing archival storage sources reduces primary storage costs required and allows an organization to maintain data that may be required for regulatory or other requirements[61 - Archival Storage – Text: electronic. – www.komprise.com (http://www.komprise.com/) (date of request: 07.07.2022) URL: https://www.komprise.com/glossary_terms/archival-storage/].
Archive is a site where machine-readable materials are stored, preserved, and possibly redistributed to individuals interested in using the materials. To place or store in an archive[62 - Archive – Text: electronic. – www.umich.edu (http://www.umich.edu/) (date of request: 07.07.2022) URL: https://www.icpsr.umich.edu/web/ICPSR/cms/2042#A (https://www.icpsr.umich.edu/web/ICPSR/cms/2042#A)].
Artifact is one of many kinds of tangible by-products produced during the development of software. Some artifacts (e.g., use cases, class diagrams, and other Unified Modeling Language (UML) models, requirements and design documents) help describe the function, architecture, and design of software. Other artifacts are concerned with the process of development itself – such as project plans, business cases, and risk assessments[63 - Artifact – Text: electronic. – https://en.wikipedia.org (https://en.wikipedia.org/) (date of request: 07.07.2022) URL: https://en.wikipedia.org/wiki/Artifact_(software_development) (https://en.wikipedia.org/wiki/Artifact_(software_development))].
Artificial intelligence (AI) is a computer program that is able to perform intelligent operations independently. Artificial intelligence is difficult to define, since giving an exhaustive definition of intelligence is already challenging. Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving[64 - Artificial intelligence (AI) – Text: electronic. – www.sofokus.com (http://www.sofokus.com/) (date of request: 07.07.2022) URL: https://www.sofokus.com/glossary-of-digital-business/#ABCD (https://www.sofokus.com/glossary-of-digital-business/#ABCD)],[65 - Artificial intelligence (AI) – Text: electronic. – www.investopedia.com (http://www.investopedia.com/) (date of request: 07.07.2022) URL: https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp (https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp)].
Artificial intelligence (Artificial intelligence, Machine intelligence, AI) is the ability of a machine to make decisions and perform tasks that mimic human intelligence and behavior. Artificial intelligence is also called a complex of technological solutions that allows simulating human cognitive functions (including self-learning and searching for solutions without a predetermined algorithm) and obtaining results when performing specific tasks that are at least comparable to the results of human intellectual activity. The complex of technological solutions includes information and communication infrastructure, software (including those that use machine learning methods), processes and services for data processing and finding solutions.» Artificial intelligence is also given the following definition: AI is a computer system based on a set of scientific and engineering knowledge, as well as technologies for creating intelligent machines, programs, services and applications (for example, machine learning and deep learning), imitating the thought processes of a person or living beings, capable of perceiving information with a certain degree of autonomy, learning and making decisions based on the analysis of large amounts of data, the purpose of which is to help people solve their daily routine tasks. The term AI was first coined by John McCarthy in 1956[66 - Указ Президента Российской Федерации от 10.10.2019 г. №490 «О развитии искусственного интеллекта в Российской Федерации». – Text: electronic. – https://www.kremlin.ru (https://www.kremlin.ru/) URL: http://www.kremlin.ru/acts/bank/44731 (http://www.kremlin.ru/acts/bank/44731)],[67 - Artificial Intelligence – Text: electronic. – https://absel.ua (https://absel.ua/) URL: https://absel.ua/news/tri-tipa-iskusstvennogo-intellekta-ponimanie-ii.htmlobuchenii (https://absel.ua/news/tri-tipa-iskusstvennogo-intellekta-ponimanie-ii.htmlobuchenii) (date of request: 18.02.2022)].
Artificial Intelligence Automation Platforms is platforms that enable the automation and scaling of production-ready AI. Artificial Intelligence Platforms involves the use of machines to perform the tasks that are performed by human beings. The platforms simulate the cognitive function that human minds perform such as problem-solving, learning, reasoning, social intelligence as well as general intelligence. Top Artificial Intelligence Platforms: Google AI Platform, TensorFlow, Microsoft Azure, Rainbird, Infosys Nia, Wipro HOLMES, Dialogflow, Premonition, Ayasdi, MindMeld, Meya, KAI, Vital A.I, Wit, Receptiviti, Watson Studio, Lumiata, Infrrd[68 - Artificial Intelligence Automation Platforms – Text: electronic. – www.predictiveanalyticstoday.com (http://www.predictiveanalyticstoday.com/) URL: https://www.predictiveanalyticstoday.com/artificial-intelligence-platforms/ (https://www.predictiveanalyticstoday.com/artificial-intelligence-platforms/) (date of request: 07.07.2022)].
Artificial intelligence engine (also AI engine, AIE) is an artificial intelligence engine, a hardware and software solution for increasing the speed and efficiency of artificial intelligence system tools.
Artificial Intelligence for IT Operations (AIOps) is an emerging IT practice that applies artificial intelligence to IT operations to help organizations intelligently manage infrastructure, networks, and applications for performance, resilience, capacity, uptime, and, in some cases, security. By shifting traditional, threshold-based alerts and manual processes to systems that take advantage of AI and machine learning, AIOps enables organizations to better monitor IT assets and anticipate negative incidents and impacts before they take hold. AIOps is a term coined by Gartner in 2016 as an industry category for machine learning analytics technology that enhances IT operations analytics covering operational tasks include automation, performance monitoring and event correlations, among others. Gartner define an AIOps Platform thus: «An AIOps platform combines big data and machine learning functionality to support all primary IT operations functions through the scalable ingestion and analysis of the ever-increasing volume, variety and velocity of data generated by IT. The platform enables the concurrent use of multiple data sources, data collection methods, and analytical and presentation technologies»[69 - Artificial Intelligence for IT Operations (AIOps) – Text: electronic. – www.cio.com (http://www.cio.com/) URL: https://www.cio.com/article/196239/what-is-aiops-injecting-intelligence-into-it-operations.html (https://www.cio.com/article/196239/what-is-aiops-injecting-intelligence-into-it-operations.html) (date of request: 07.07.2022)],[70 - Artificial Intelligence for IT Operations (AIOps) – Text: electronic. – www.gartner.com (http://www.gartner.com/) URL: https://www.gartner.com/en/information-technology/glossary/aiops-platform (https://www.gartner.com/en/information-technology/glossary/aiops-platform) (date of request: 07.07.2022)],[71 - Искусственный интеллект для ИТ-операций – Text: electronic. – https://networkguru.ru (https://networkguru.ru/) URL: https://networkguru.ru/aiops-artificial-intelligence-for-it-operations/ (https://networkguru.ru/aiops-artificial-intelligence-for-it-operations/) (date of request: 07.07.2022)].
Artificial Intelligence Markup Language (AIML) is an XML dialect for creating natural language software agents[72 - Artificial Intelligence Markup Language AIML – Text: electronic. – https://engati.com (https://engati.com/) URL: https://www.engati.com/glossary/artificial-intelligence-markup-language (https://www.engati.com/glossary/artificial-intelligence-markup-language) (date of request: 18.02.2022)].
Artificial Intelligence Open Library is a set of algorithms designed to develop technological solutions based on artificial intelligence, described using programming languages and posted on the Internet.
Artificial intelligence system (AIS) is a programmed or digital mathematical model (implemented using computer computing systems) of human intellectual capabilities, the main purpose of which is to search, analyze and synthesize large amounts of data from the world around us in order to obtain new knowledge about it and solve them. basis of various vital tasks. The discipline «Artificial Intelligence Systems» includes consideration of the main issues of modern theory and practice of building intelligent systems.
Artificial intelligence technologies are technologies based on the use of artificial intelligence, including computer vision, natural language processing, speech recognition and synthesis, intelligent decision support and advanced methods of artificial intelligence.
Artificial life (Alife, A-Life) is a field of study wherein researchers examine systems related to natural life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry. The discipline was named by Christopher Langton, an American theoretical biologist, in 1986. In 1987 Langton organized the first conference on the field, in Los Alamos, New Mexico. There are three main kinds of alife, named for their approaches: soft, from software; hard, from hardware; and wet, from biochemistry. Artificial life researchers study traditional biology by trying to recreate aspects of biological phenomena[73 - Artificial life – Text: electronic. – https://en.wikipedia.org (https://en.wikipedia.org/) URL: https://en.wikipedia.org/wiki/Artificial_life (https://en.wikipedia.org/wiki/Artificial_life) (date of request: 07.07.2022)].
Artificial Narrow Intelligence (ANI) also known as weak or applied intelligence, represents most of the current artificial intelligent systems which usually focus on a specific task. Narrow AIs are mostly much better than humans at the task they were made for: for example, look at face recognition, chess computers, calculus, and translation. The definition of artificial narrow intelligence is in contrast to that of strong AI or artificial general intelligence, which aims at providing a system with consciousness or the ability to solve any problems. Virtual assistants and AlphaGo are examples of artificial narrow intelligence systems[74 - Artificial Narrow Intelligence (ANI) – Text: electronic. – https://dic.academic.ru (https://dic.academic.ru/) URL: https://dic.academic.ru/dic.nsf/ruwiki/318696 (https://dic.academic.ru/dic.nsf/ruwiki/318696) (date of request: 27.01.2022)],[75 - Artificial Narrow Intelligence (ANI) – Text: electronic. – https://dic.academic.ru (https://dic.academic.ru/) URL: https://dic.academic.ru/searchall.php?SWord=Artificial+Narrow+Intelligence+%28ANI%29+&from=ru&to=xx&did=&stype (https://dic.academic.ru/searchall.php?SWord=Artificial+Narrow+Intelligence+%28ANI%29+&from=ru&to=xx&did=&stype) (date of request: 27.01.2022)].
Artificial Neural Network (ANN) is a computational model in machine learning, which is inspired by the biological structures and functions of the mammalian brain. Such a model consists of multiple units called artificial neurons which build connections between each other to pass information. The advantage of such a model is that it progressively «learns» the tasks from the given data without specific programing for a single task.
Artificial neural networks (ANNs) usually simply called neural networks (NNs) are computing systems inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron receives signals then processes them and can signal neurons connected to it. The «signal» at a connection is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs. The connections are called edges. Neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Neurons may have a threshold such that a signal is sent only if the aggregate signal crosses that threshold. Typically, neurons are aggregated into layers. Different layers may perform different transformations on their inputs. Signals travel from the first layer (the input layer), to the last layer (the output layer), possibly after traversing the layers multiple times[76 - Artificial neural networks (ANNs) – Text: electronic. – https://en.wikipedia.org (https://en.wikipedia.org/) (date of request: 07.07.2022) URL: https://en.wikipedia.org/wiki/Artificial_neural_network (https://en.wikipedia.org/wiki/Artificial_neural_network)].
Artificial neuron is a mathematical function conceived as a model of biological neurons, a neural network. The difference between an artificial neuron and a biological neuron is shown in the figure.
Artificial neurons are the elementary units of an artificial neural network. An artificial neuron receives one or more inputs (representing excitatory postsynaptic potentials and inhibitory postsynaptic potentials on nerve dendrites) and sums them to produce an output signal (or activation, representing the action potential of the neuron that is transmitted down its axon). Typically, each input is weighted separately, and the sum is passed through a non-linear function known as an activation function or transfer function. Transfer functions are usually sigmoid, but they can also take the form of other non-linear functions, piecewise linear functions, or step functions. They are also often monotonically increasing, continuous, differentiable, and bounded[77 - Artificial neuron – Text: electronic. – https://en.wikipedia.org (https://en.wikipedia.org/) URL: https://en.wikipedia.org/wiki/Artificial_neuron (https://en.wikipedia.org/wiki/Artificial_neuron) (date of request: 07.07.2022)],[78 - Artificial neuron – Text: electronic. – https://towardsdatascience.com (https://towardsdatascience.com/) URL: https://towardsdatascience.com/the-concept-of-artificial-neurons-perceptrons-in-neural-networks-fab22249cbfc (https://towardsdatascience.com/the-concept-of-artificial-neurons-perceptrons-in-neural-networks-fab22249cbfc) (date of request: 07.07.2022)].
Artificial Superintelligence (ASI) is a term referring to the time when the capability of computers will surpass humans. «Artificial intelligence,» which has been much used since the 1970s, refers to the ability of computers to mimic human thought. Artificial superintelligence goes a step beyond and posits a world in which a computer’s cognitive ability is superior to a human.
ASCII is a character-encoding scheme used by many computers. The ASCII standard uses 7 of the 8 bits in a byte to define the codes for 128 characters. Example: In ASCII, the number «7» is treated as a character and is encoded as: 00010111. Because a byte can have a total of 256 possible values, there are an additional 128 possible characters that can be encoded into a byte, but there is no formal ASCII standard for those additional 128 characters. Most IBM-compatible personal computers do use an IBM «extended» character set that includes international characters, line and box drawing characters, Greek letters, and mathematical symbols. (ASCII stands for American Standard Code for Information Interchange)[79 - ASCII – Text: electronic. – www.umich.edu (http://www.umich.edu/) (date of request: 07.07.2022) URL: https://www.icpsr.umich.edu/web/ICPSR/cms/2042#A (https://www.icpsr.umich.edu/web/ICPSR/cms/2042#A)].
Asset are mission-critical systems, physical hardware, applications, support systems, high-impact programs, personnel, equipment, locations, and more[80 - Asset – Text: electronic. – https://www.freewave.com (https://www.freewave.com/) URL: https://www.freewave.com/freewaves-industrial-internet-of-things-iiot-glossary (https://www.freewave.com/freewaves-industrial-internet-of-things-iiot-glossary) (date of request: 25.02.2023)].
Asset framework is a hierarchy tree depicting the high level assets, sub assets, and individual sensors at the leaf level of the tree[81 - Asset framework – Text: electronic. – https://www.trendminer.com (https://www.trendminer.com/) URL: https://www.trendminer.com/iiot-glossary/ (https://www.trendminer.com/iiot-glossary/) (date of request: 25.02.2023)].
Assist – assessment and evaluation tools for e-service deployment in health, care and ageing – is an assessment and evaluation framework and tool built by Empirica for assessing the economic sustainability of telemedicine and telehealth services. Originally developed and successfully applied for business case development in telemedicine on behalf of the European Space Agency, the ASSIST tool exists also in adaptations for use in integrated eCare and eHealth services[82 - ASSIST – Text: electronic. – https://digitalhealtheurope.eu (https://digitalhealtheurope.eu/) URL: https://digitalhealtheurope.eu/glossary/assist/ (https://digitalhealtheurope.eu/glossary/assist/) (date of request: 10.11.2022)].
Assisted registration – the process that enables healthcare providers to assist their patients to register for a My Health Record[83 - Assisted registration – Text: electronic. – www.digitalhealth.gov.au/ (http://www.digitalhealth.gov.au/) URL: www.digitalhealth.gov.au/support/glossary (http://www.digitalhealth.gov.au/support/glossary) (date of request: 10.11.2022)].
Assisted Registration Tool (ART) – purpose-built software to enable an HPI-O to assert a patient’s identity and then submit their details to the My Health Record system for registration[84 - Assisted Registration Tool (ART) – Text: electronic. – www.digitalhealth.gov.au/ (http://www.digitalhealth.gov.au/) URL: www.digitalhealth.gov.au/support/glossary (http://www.digitalhealth.gov.au/support/glossary) (date of request: 10.11.2022)].
Assistive intelligence is AI-based systems that help make decisions or perform actions.
Assistive technology (AT) is any item, piece of equipment, software program, or product system that is used to increase, maintain, or improve the functional capabilities of persons with disabilities[85 - Assistive technology (AT) – Text: electronic. – www.atia.org (http://www.atia.org/) (date of request: 07.07.2022) URL: https://www.atia.org/home/at-resources/what-is-at/ (https://www.atia.org/home/at-resources/what-is-at/)].
Association for the Advancement of Artificial Intelligence (AAAI) — an international, nonprofit, scientific society devoted to promote research in, and responsible use of, artificial intelligence. AAAI also aims to increase public understanding of artificial intelligence (AI), improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.
Assumed Consent – informational consent done in the absence of any formal recorded or verbal indication of agreement or any overt action (or inaction) on the part of the data subject[86 - Assumed Consent – Text: electronic. – https://digitalhealtheurope.eu (https://digitalhealtheurope.eu/) URL: https://digitalhealtheurope.eu/glossary/assumed-consent/ (https://digitalhealtheurope.eu/glossary/assumed-consent/) (date of request: 10.11.2022)].
Assurance – activities designed to reach a measure of confidence. Assurance is different from audit, which is more concerned with compliance to formal standards or requirements[87 - Assurance – Text: electronic. – https://digitalhealtheurope.eu (https://digitalhealtheurope.eu/) URL: https://digitalhealtheurope.eu/glossary/assurance/ (https://digitalhealtheurope.eu/glossary/assurance/) (date of request: 10.11.2022)].
Asynchronous inter-chip protocols are protocols for data exchange in low-speed devices; instead of frames, individual characters are used to control the exchange of data.
Athenahealth Inc. is a developer of cloud-based practice management, point-of-care mobile applications and electronic health record (EHR) systems for small to medium-sized (SMB) physician practices and hospitals[88 - Athenahealth Inc. – Text: electronic. – https://www.techtarget.com (https://www.techtarget.com/) URL: https://www.techtarget.com/searchhealthit/definitions (https://www.techtarget.com/searchhealthit/definitions) (date of request: 10.11.2022)].
Attack Surface refers to the system elements and interactions that are vulnerable to cyberattacks[89 - Attack Surface – Text: electronic. – https://www.freewave.com (https://www.freewave.com/) URL: https://www.freewave.com/freewaves-industrial-internet-of-things-iiot-glossary/ (https://www.freewave.com/freewaves-industrial-internet-of-things-iiot-glossary/) (date of request: 25.02.2023)].
Attack Vector is a pathway by which a cybercriminal can gain access to an entity[90 - Attack Vector – Text: electronic. – https://www.freewave.com (https://www.freewave.com/) URL: https://www.freewave.com/freewaves-industrial-internet-of-things-iiot-glossary/ (https://www.freewave.com/freewaves-industrial-internet-of-things-iiot-glossary/) (date of request: 25.02.2023)].
Attention mechanism is one of the key innovations in the field of neural machine translation. Attention allowed neural machine translation models to outperform classical machine translation systems based on phrase translation. The main bottleneck in sequence-to-sequence learning is that the entire content of the original sequence needs to be compressed into a vector of a fixed size. The attention mechanism facilitates this task by allowing the decoder to look back at the hidden states of the original sequence, which are then provided as a weighted average as additional input to the decoder.
Attributes (XML) (Атрибуты (XML)) XML elements can have attributes that further describe them, such as the following: <Price currency=«Euro»> 25.43 </Price> In the example above, «currency» is an attribute of «Price», and the attribute’s value is «Euro»[91 - Attributes (XML) – Text: electronic. – www.umich.edu (http://www.umich.edu/) (date of request: 07.07.2022) URL: https://www.icpsr.umich.edu/web/ICPSR/cms/2042#A (https://www.icpsr.umich.edu/web/ICPSR/cms/2042#A)].
Audit – an independent examination of an effort to determine its compliance with a set of requirements. An audit may be carried out by internal or external groups[92 - Audit – Text: electronic. – https://digitalhealtheurope.eu (https://digitalhealtheurope.eu/) URL: https://digitalhealtheurope.eu/glossary/audit/ (https://digitalhealtheurope.eu/glossary/audit/) (date of request: 10.11.2022)].
Audit Trail is a record that can be interpreted by auditors to establish that an activity has taken place. Often, a chronological record of system activities to enable the reconstruction and examination of the sequence of events and/or changes in an event. An audit trail of system resource usage may include user login, file access, and triggers that indicate whether any actual or attempted security violations occurred[93 - Audit Trail – Text: electronic. – https://digitalhealtheurope.eu (https://digitalhealtheurope.eu/) URL: https://digitalhealtheurope.eu/glossary/audit-trail-2/ (https://digitalhealtheurope.eu/glossary/audit-trail-2/) (date of request: 10.11.2022)].
Auditability – property that ensures that any action of any security subject on any security object may be examined in order to establish the real operational responsibilities[94 - Auditability – Text: electronic. – https://digitalhealtheurope.eu (https://digitalhealtheurope.eu/) URL: https://digitalhealtheurope.eu/glossary/auditability/ (https://digitalhealtheurope.eu/glossary/auditability/) (date of request: 10.11.2022)].
Augmented and virtual reality enable the creation of immersive and interactive experiences using digital simulations. In a post-pandemic world, where buying takes place at a distance, serving up products virtually has never been so crucial[95 - Augmented and virtual reality – Text: electronic. – https://kbmax.com (https://kbmax.com/) URL: https://kbmax.com/blog/the-fourth-industrial-revolution-definitions-and-technologies (https://kbmax.com/blog/the-fourth-industrial-revolution-definitions-and-technologies) (date of request: 25.02.2023)].
Augmented Intelligence is the intersection of machine learning and advanced applications, where clinical knowledge and medical data converge on a single platform. The potential benefits of Augmented Intelligence are realized when it is used in the context of workflows and systems that healthcare practitioners operate and interact with. Unlike Artificial Intelligence, which tries to replicate human intelligence, Augmented Intelligence works with and amplifies human intelligence[96 - Augmented Intelligence – Text: electronic. – https://gartner.com (https://gartner.com/) URL: https://www.gartner.com/en/information-technology/glossary/augmented-intelligence#:~:text=Augmented%20intelligence%20is%20a%20design,decision%20making%20and%20new%20experiences (https://www.gartner.com/en/information-technology/glossary/augmented-intelligence#:~:text=Augmented%20intelligence%20is%20a%20design,decision%20making%20and%20new%20experiences). (date of request: 28.01.2022)].
Augmented Reality (AR) is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. It is a growing trend among companies involved in mobile computing and business applications in particular. Also, Augmented Reality (AR) refers to an interactive experience that blends together the virtual world and the real world. For example, visuals of a product or component can be overlaid onto the real world via a mobile phone or tablet, enabling users to visualize a virtual object in a real-world space[97 - Augmented reality (AR) – Text: electronic. – www.investopedia.com (http://www.investopedia.com/) (date of request: 07.07.2022) URL: https://www.investopedia.com/terms/a/augmented-reality.asp (https://www.investopedia.com/terms/a/augmented-reality.asp)],[98 - Augmented Reality (AR) – Text: electronic. – https://blog.pruftechnik.com (https://blog.pruftechnik.com/) URL: https://blog.pruftechnik.com/industry-4-0-iiot-glossary-of-terms/ (https://blog.pruftechnik.com/industry-4-0-iiot-glossary-of-terms/) (date of request: 25.02.2023)].
Augmented reality technologies are visualization technologies based on adding information or visual effects to the physical world by overlaying graphic and/or sound content to improve user experience and interactive features.
