scholarly journals Cybersecurity Impacts for Artificial Intelligence use within Industry 4.0

2021 ◽  
Vol 26 (1) ◽  
pp. 24-31
Author(s):  
Maurice Dawson
Keyword(s):  
Artificial Intelligence ◽  
Data Science ◽  
New Technologies ◽  
Critical Infrastructure ◽  
Senior Management ◽  
University Professors ◽  
Information Technology Managers ◽  
Technological Advances ◽  
Technology Managers ◽  
Workforce Needs

Abstract In today’s modern digitizing manufacturing landscape, new and emerging technologies can shape how an organization can compete, while others will view this as a necessity to survive as manufacturing has been identified as a critical infrastructure. Universities struggle to hire university professors that are adequately trained or willing to enter academia due to competitive salary offers in the industry. Meanwhile, the demand for fields such as Artificial Intelligence, data science, and cybersecurity continuously rises with no foreseeable drop in demand in the next several years. This results in organizations deploying technologies with an inadequate staff that understands what new cybersecurity risks they are introducing into the company. Examined are how organizations can potentially mitigate some of the risk associated with integrating these new technologies and developing their workforce to be better prepared for looming changes in technological skill need. With the over a 10 % growth in organizations deploying Artificial Intelligence, the current cybersecurity workforce needs are over half a million. A struggle to find a viable workforce this research paper aims to serve as a guide for Information Technology managers and senior management to foresee the cybersecurity risks that will result from the incorporation of these new technological advances into the organization.

scholarly journals Artificial Intelligence, Globalization, and Strategies for Economic Development

2021 ◽  
pp. 1-53
Author(s):  
Anton Korinek ◽  
Joseph Stiglitz
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
New Technologies ◽  
Developed Countries ◽  
Economic Policies ◽  
Resource Saving ◽  
Technological Advances ◽  
Poverty And Inequality ◽  
Past Half Century ◽  
Winner Takes All

Progress in artificial intelligence and related forms of automation technologies threatens to reverse the gains that developing countries and emerging markets have experienced from integrating into the world economy over the past half century, aggravating poverty and inequality. The new technologies have the tendency to be labor-saving, resource-saving, and to give rise to winner-takes-all dynamics that advantage developed countries. We analyze the economic forces behind these developments and describe economic policies that would mitigate the adverse effects on developing and emerging economies while leveraging the potential gains from technological advances. We also describe reforms to our global system of economic governance that would share the benefits of AI more widely with developing countries.

Studying Customer Experience and Retention Using Applied Data Science and Artificial Intelligence

2021 ◽  
pp. 192-222
Author(s):  
M Dolores Méndez-Aparicio ◽  
María Pilar Martínez-Ruiz ◽  
Alicia Izquierdo-Yusta ◽  
Ana Isabel Jiménez-Zarco
Keyword(s):  
Artificial Intelligence ◽  
Data Science ◽  
Computer Engineering ◽  
Relevant Aspect ◽  
Human Relations ◽  
Customer Data ◽  
Technological Paradigm ◽  
Technological Advances ◽  
Continuous Interaction ◽  
Human Thinking

Data science has established itself as a discipline of study in the new technological paradigm of the 21st century. Customer data and metadata are not only unique opportunities for companies that are interested in collecting, processing, and elaborating useful information for customer-centric business management. They are also starting to feed other disciplines, such as industry and computer engineering, which are developing new ways of organising information and intelligent response, where significant technological advances in facial, sensory, text, voice, and image recognition are constantly emerging, with response capabilities ever closer to human thinking. From this continuous interaction emerges a new asset for companies: knowledge. Thus, science applied to data is consolidating as an opportunity for companies in customer loyalty and retention by being able to include a relevant aspect in human relations such as warmth and empathy, basis of marketing 5.0, oriented once again towards human relations, from a virtual existence and total digitalisation.

scholarly journals Positive Effect of Industry 4.0 on Quality and Operations Management

2021 ◽  
Vol 17 (09) ◽  
pp. 133
Author(s):  
Hanane Rifqi ◽  
Abdellah Zamma ◽  
Souad Ben Souda ◽  
Mohamed Hansali
Keyword(s):  
Artificial Intelligence ◽  
Operations Management ◽  
Six Sigma ◽  
Industry 4.0 ◽  
New Technologies ◽  
Lean Six Sigma ◽  
Quality Practices ◽  
Technological Advances ◽  
Potential Gain ◽  
Positive Effect

the last decade has witnessed the birth of technological advances such as the IoT, artificial intelligence, machine learning and augmented reality. These technologies have driven the transition to Industry 4.0 where they have enabled the digitization of manufacturing with potential gain. Also Industry 4.0 has given birth to several new hybrid concepts as well as several management operations to take advantage and become more efficient by using IoT and these new technologies. In our paper, we discuss the effect of Industry 4.0 on management and quality practices by answering the following questions based on the literature review: What is the positive effect of Industry 4.0 on quality improvement and operations management? How does Industry 4.0 integrate concepts (Lean, Six Sigma, Supply Chain ...) to create new paradigms?

When Giants Meet

2020 ◽  
pp. 81-101
Author(s):  
Myriam Ertz ◽  
Émilie Boily
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
New Technologies ◽  
Big Data Analysis ◽  
Illustrative Case ◽  
Blockchain Technology ◽  
Technological Advances ◽  
Managerial Implications

The collaborative economy (CE) involves an intensification of direct or intermediated peer-to-peer trade, underpinned by robust digital infrastructures and processes, hence an increased use of new technologies and a redefinition of business activities. As an inherently connected economy, the CE is, therefore, prone to integrating the most recent technological advances including artificial intelligence, big data analysis, augmented reality, the smart grid, and blockchain technology. As an innovative payment and finance technology, the blockchain and cryptocurrencies could have potential implications for the CE. This chapter consists of a conceptual review analyzing how the CE connects with the blockchain technology. The chapter presents subsequently the organizational and managerial implications related to the use of blockchain technology in terms of governance, transaction costs, and user confidence. An illustrative case further examines the role of a prominent social media in the CE-blockchain nexus.

scholarly journals Translation quality management in the AI Age. New technologies to perform translation quality assurance operations

2021 ◽  
pp. 93-111
Author(s):  
Jennifer Vela-Valido
Keyword(s):  
Artificial Intelligence ◽  
Quality Assurance ◽  
Quality Management ◽  
New Technologies ◽  
Academic Research ◽  
Research Trends ◽  
Translation Quality ◽  
Technological Advances ◽  
The Impact ◽  
Selection Of

This article presents a selection of some of the latest technologies to perform translation quality management operations such as quality assurance and translation quality assessment using artificial intelligence and machine learning; it also discusses the impact of these technological advances in the latest academic research trends and the translation industry.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Rediseñando las Organizaciones del Futuro. El impacto de la transformación digital en el mundo del trabajo

2019 ◽  
Vol 1 (1) ◽  
pp. 199-226
Author(s):  
Ricardo M. Piñeyro Prins ◽  
Guadalupe E. Estrada Narvaez
Keyword(s):  
Industrial Revolution ◽  
New Technologies ◽  
Third Sector ◽  
Digital Transformation ◽  
Digital Culture ◽  
Exploratory Research ◽  
The People ◽  
Technological Advances ◽  
Current Scenario ◽  
The Way

We are witnessing how new technologies are radically changing the design of organizations, the way in which they produce and manage both their objectives and their strategies, and -above all- how digital transformation impacts the people who are part of it. Even today in our country, many organizations think that digitalizing is having a presence on social networks, a web page or venturing into cases of success in corporate social intranet. Others begin to invest a large part of their budget in training their teams and adapting them to the digital age. But given this current scenario, do we know exactly what the digital transformation of organizations means? It is necessary? Implying? Is there a roadmap to follow that leads to the success of this process? How are organizations that have been born 100% digital from their business conception to the way of producing services through the use of platforms? What role does the organizational culture play in this scenario? The challenge of the digital transformation of businesses and organizations, which is part of the paradigm of the industrial revolution 4.0, is happening here and now in all types of organizations, whether are they private, public or third sector. The challenge to take into account in this process is to identify the digital competences that each worker must face in order to accompany these changes and not be left out of it. In this sense, the present work seeks to analyze the main characteristics of the current technological advances that make up the digital transformation of organizations and how they must be accompanied by a digital culture and skills that allow their successful development. In order to approach this project, we will carry out an exploratory research, collecting data from the sector of new actors in the world of work such as employment platforms in its various areas (gastronomy, delivery, transportation, recreation, domestic service, etc) and an analysis of the main technological changes that impact on the digital transformation of organizations in Argentina.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

The Daily Routine of Students in the Classroom

2020 ◽  
Vol 8 (3) ◽  
pp. 157-163
Author(s):  
Lilian Marques Silva
Keyword(s):  
Elementary School ◽  
Public School ◽  
Data Collection ◽  
New Technologies ◽  
Sao Paulo ◽  
The State ◽  
Daily Routine ◽  
São Paulo ◽  
Access To Information ◽  
Technological Advances

The almost instantaneous access to information provided by technological advances has revolutionized the behavior of people and of the classrooms too. Teachers had to adapt themselves to new technologies to maintain students interested and attentive to the discipline being taught. In this work, the behavior of the students of the 6th grade of elementary school II during class was observed. The school chosen is a public school in the State of São Paulo (Brazil). The research was based on data collection. The students were observed by being filmed during six months. The results showed that the students were interested in the classes and committed to the activities. The place that the student chooses to sit in the classroom influences the behavior of the teacher, because the more distant the teacher, the less he participates in the class.

The Future of Human Workers

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Mental Capacity ◽  
Machine Intelligence ◽  
The Internet ◽  
Traditional Model ◽  
Global Workforce ◽  
Repetitive Tasks ◽  
The Internet Of Things

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

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