scholarly journals ANALYSIS OF MODELS AND METHODS OF BUSINESS PROCESSES DIGITALIZATION

2021 ◽  
pp. 38-47
Author(s):  
Alexander Timinsky ◽  
Oleksandr Voitenko ◽  
Isus Raichuk
Keyword(s):  
Artificial Intelligence ◽  
Business Processes ◽  
Object Oriented ◽  
Services Marketing ◽  
Research Topic ◽  
Agricultural Enterprises ◽  
A Value ◽  
Building Models ◽  
The World ◽  
New Models

The paper considers and analyzes works on automation and digitalization of business processes in various fields of application. The relevance of the research topic is substantiated, in particular, taking into account the conditions of the pandemic. Automation is defined as a prerequisite for digitalization. Possible positive and negative aspects of digitalization are considered. The analysis of models and methods of digitalization, presented in the works, which describe the state and prospects of digitalization in Ukraine and the world in general. Foreign practices of digitalization implementation of business processes are analyzed. In order to determine approaches to building models and methods of digitalization in agriculture, the development of digitalization and digitalization of business processes in various sectors of the economy, such as banking, tourism and services, marketing and others. Based on the analysis, the studied models and methods are expertly evaluated on five parameters - applicability to agriculture, application of artificial intelligence, coverage of business processes, completeness and detail, application of a value approach. The models most suitable for implementation at agricultural enterprises are highlighted. It is concluded that for use in this area, the relevant models and methods must be adapted to the specifics of the industry. The need to develop new models and methods for business process digitalization projects for agricultural enterprises is emphasized. Areas of further research in the chosen direction are formulated: application of models and methods of digitalization of business processes of object-oriented organizations in the field of agriculture; value optimization of business processes based on artificial intelligence; digitalization of business processes of interaction of project stakeholders based on a value approach.

Transformation of Marketing With Technology

2020 ◽  
pp. 144-165
Author(s):  
Fatih Pinarbasi ◽  
Habib Mehmet Akpınar
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Business Processes ◽  
Living Organism ◽  
Competitive Environment ◽  
Business Applications ◽  
The World ◽  
Integrated Study ◽  
Media Transformation

Marketing lives as a living organism with its competitive environment and several internal conditions. Marketing functions should adapt to the world they are bound to and develop their activities by taking into account the changes and developments in micro and macro factors. With the increase in technology and the spread of social media, transformation in marketing has become inevitable. Advances in business applications have better results about understanding customer and markets. As previous studies examine artificial intelligence concept with different contexts, there is lack of integrated study which examine marketing and artificial intelligence together. This study proposes three-steps plan for implementing AI with marketing while it includes nine scenarios from different marketing goals. Study also has suggestions for implementing AI methodologies into business processes.

scholarly journals A Generic Model of the World and Intelligence

10.29007/s6vh ◽  
2019 ◽  
Author(s):  
Harris Wang
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Object Oriented ◽  
Generic Model ◽  
Human Beings ◽  
Primary Methods ◽  
The World ◽  
Object Hierarchies

The resurgence of interest in Artificial Intelligence and advances in several fronts of AI, machine learning with neural network in particular, have made us think again about the nature of intelligence, and the existence of a generic model that may be able to capture what human beings have in their mind about the world to empower them to present all kinds of intelligent behaviors. In this paper, we present Constrained Object Hierarchies (COHs) as such a generic model of the world and intelligence. COHs extend the well-known object-oriented paradigm by adding identity constraints, trigger constraints, goal constraints, and some primary methods that can be used by capable beings to accomplish various intelligence, such as deduction, induction, analogy, recognition, construction, learning and many others.In the paper we will first argue the need for such a generic model of the world and intelligence, and then present the generic model in detail, including its important constructs, the primary methods capable beings can use, as well as how different intelligent behaviors can be implemented and achieved with this generic model.

scholarly journals Digital Trends in the Financial Environment

2021 ◽  
Vol 93 ◽  
pp. 02001
Author(s):  
Gilian Fedotova ◽  
Yuldash Mamengayev
Keyword(s):  
Intellectual Development ◽  
Business Processes ◽  
Digital Technologies ◽  
Research Topic ◽  
The World ◽  
Provision Of Services ◽  
Financial Infrastructure ◽  
Coronavirus Infection ◽  
Second Wave ◽  
Financial Environment

The relevance of the research topic is dictated by the ongoing processes of transition to the digital sphere of all operations, mechanisms of interaction and provision of services under the conditions of the introduced quarantine measures. The second wave of coronavirus infection that swept the world in the fall of 2020 is forcing a significant revision of the technology for providing many services, including financial ones. In this regard, it is necessary to constantly search for and improve digital technologies, to intensify intellectual and innovative activities. The results obtained lay the foundation for building a new image of the financial market based on AI technologies. New financial institutions operating on artificial intelligence technologies allow many operations and business processes to be performed remotely. Intelligent insights are exactly the kind of products that can be digitally acquired and generated remotely. The formed digital financial infrastructure allows you to quickly enough finance intellectual development and attract investments in this industry.

scholarly journals Knowing me, knowing you: theory of mind in AI

2020 ◽  
Vol 50 (7) ◽  
pp. 1057-1061
Author(s):  
F. Cuzzolin ◽  
A. Morelli ◽  
B. Cîrstea ◽  
B. J. Sahakian
Keyword(s):  
Artificial Intelligence ◽  
Theory Of Mind ◽  
Emotional State ◽  
Mental States ◽  
Human Mind ◽  
Human Interactions ◽  
The World ◽  
New Models ◽  
Computer Scientists ◽  
Approach Theory

AbstractArtificial intelligence has dramatically changed the world as we know it, but is yet to fully embrace ‘hot’ cognition, i.e., the way an intelligent being's thinking is affected by their emotional state. Artificial intelligence encompassing hot cognition will not only usher in enhanced machine-human interactions, but will also promote a much needed ethical approach. Theory of Mind, the ability of the human mind to attribute mental states to others, is a key component of hot cognition. To endow machines with (limited) Theory of Mind capabilities, computer scientists will need to work closely with psychiatrists, psychologists and neuroscientists. They will need to develop new models, but also to formally define what problems need to be solved and how the results should be assessed.

scholarly journals A Review Of Trends In Research On Web Mining

2011 ◽  
pp. 37-41
Author(s):  
Manoj Pandia ◽  
Subhendu Kumar Pani ◽  
Sanjay Kumar Padhi ◽  
Lingaraj Panigrahy ◽  
R. Ramakrishna
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
World Wide Web ◽  
Web Mining ◽  
World Wide ◽  
Research Topic ◽  
Research Areas ◽  
The World ◽  
Fertile Area ◽  
The Web

In recent years the growth of the World Wide Web exceeded all expectations. Today there are several billions of HTML documents, pictures and other multimedia files available via internet and the number is still rising. But considering the impressive variety of the web, retrieving interesting content has become a very difficult task.So, the World Wide Web is a fertile area for data mining research.Web mining is a research topic which combines two of the activated research areas: Data Mining and World Wide Web. Web mining research relates to several research communities such as Database, information Retrieval and Artificial intelligence, visualization.This paper reviews the research and application issues in web mining besides proving an overall view of Web mining.

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

Implementasi Algoritma Dijkstra Pada Game Pacman

CCIT Journal ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 170-176
Author(s):  
Anggit Dwi Hartanto ◽  
Aji Surya Mandala ◽  
Dimas Rio P.L. ◽  
Sidiq Aminudin ◽  
Andika Yudirianto
Keyword(s):  
Artificial Intelligence ◽  
Greedy Algorithm ◽  
Dijkstra Algorithm ◽  
Testing Phase ◽  
A Value ◽  
Route Problem ◽  
Starting Point ◽  
The Greedy Algorithm

Pacman is one of the labyrinth-shaped games where this game has used artificial intelligence, artificial intelligence is composed of several algorithms that are inserted in the program and Implementation of the dijkstra algorithm as a method of solving problems that is a minimum route problem on ghost pacman, where ghost plays a role chase player. The dijkstra algorithm uses a principle similar to the greedy algorithm where it starts from the first point and the next point is connected to get to the destination, how to compare numbers starting from the starting point and then see the next node if connected then matches one path with the path). From the results of the testing phase, it was found that the dijkstra algorithm is quite good at solving the minimum route solution to pursue the player, namely by getting a value of 13 according to manual calculations

Influence of social networks on business processes’ development

2020 ◽  
Vol 19 (12) ◽  
pp. 2225-2252
Author(s):  
E.V. Popov ◽  
V.L. Simonova ◽  
O.V. Komarova ◽  
S.S. Kaigorodova
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Business Models ◽  
Business Processes ◽  
Digital Economy ◽  
Theoretical Understanding ◽  
Sales Channels ◽  
A Value ◽  
The Impact

Subject. The emergence of new ways of interaction between sellers and buyers, the formation of new sales channels and product promotion based on the use of digital economy tools is at the heart of improving the business processes. Social networks became a tool for development; their rapid growth necessitates theoretical understanding and identification of potential application in enterprise's business process digitalization. Objectives. We explore the role of social media in the digitalization of business processes, systematize the impact of social networks on business processes of enterprises in the digital economy. Methods. The theoretical and methodological analysis of social networks as a tool for digitalization of company's business processes rests on the content analysis of domestic and foreign scientific studies, comparison, generalization and systematization. Results. We highlight the key effects of the impact of social networks on the business processes of the company; show that the digitalization of business processes should be considered in the context of a value-based approach, aimed at creating a value through the algorithmization of company operations. We determine that social networks are one of the most important tools for digitalization of company's business processes, as they have a high organizational and management potential. We also systematize the effects of social media on company's business processes. Conclusions. We present theoretical provisions of the impact of social networks on business processes of enterprises, which will enable to model and organize ideas about the development of digital ecosystems and the formation of business models.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

Sign in / Sign up

Export Citation Format

Share Document