Finding Solutions to Cybersecurity Challenges in the Digital Economy

2021 ◽  
pp. 80-96
Author(s):  
Hazik Mohamed ◽  
Hassnian Ali
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Technological Innovation ◽  
Financial Stability ◽  
Digital Technologies ◽  
Advanced Materials ◽  
New Era ◽  
Regulatory Issues ◽  
Technological Adoption ◽  
Iot Devices

New technological innovation has incorporated frontier technologies in transforming the way we access and use existing products and services. The economy is becoming increasingly disrupted by revolutionary enterprises using technologies such as cloud computing, extensive use of artificial intelligence and data analytics, integration of interoperable internet of things (IoT) devices and the blockchained decentralization, including advanced materials. At the same time, regulatory and legal systems need to be strengthened in order for the ecosystem be protected from cyber risks and threats to allow for the market actors to flourish. In order to enjoy the benefits brought on by digital technologies, there are regulatory issues that come with technological adoption along with financial stability implications and consumer protection, with suggestions that regulators themselves adopt advanced technologies (RegTech) to embark on the new era of market supervision and monitoring to enhance cybersecurity.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

Digital Technologies for Smart Agriculture

2021 ◽  
pp. 54-67
Author(s):  
Garima Singh ◽  
Gurjit Kaur
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Digital Technologies ◽  
Agricultural Crop ◽  
Seed Selection ◽  
Crop Selection ◽  
Soil Preparation ◽  
Crop Cycle ◽  
Smart Agriculture

This chapter will provide the reader with an introduction to the modern emerging technologies like cloud computing, machine learning, and artificial intelligence used in agriculture. Then a glimpse of complete crop cycle follows, including seven steps, namely crop selection, soil preparation, seed selection, seed sowing, irrigation, crop growth, fertilizing and harvesting; and how these digital technologies are helpful for the crop cycle is also explained in this chapter. The rest of the chapter will explain the merger of the modern digital technologies with the agricultural crop cycle and how the future farming will work.

Cybersecurity Issues and Challenges in Industry 4.0

2021 ◽  
pp. 1836-1852
Author(s):  
Ravdeep Kour
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Online Monitoring ◽  
Cognitive Computing ◽  
Fourth Industrial Revolution ◽  
Entry Points ◽  
Iot Devices

The convergence of information technology (IT) and operational technology (OT) and the associated paradigm shift toward fourth industrial revolution (aka Industry 4.0) in companies has brought tremendous changes in technology vision with innovative technologies such as robotics, big data, cloud computing, online monitoring, internet of things (IoT), cyber-physical systems (CPS), cognitive computing, and artificial intelligence (AI). However, this transition towards the fourth industrial revolution has many benefits in productivity, efficiency, revenues, customer experience, and profitability, but also imposes many challenges. One of the challenges is to manage and secure large amount of data generated from internet of things (IoT) devices that provide many entry points for hackers in the form of a threat to exploit new and existing vulnerabilities within the network. This chapter investigates various cybersecurity issues and challenges in Industry 4.0 with more focus on three industrial case studies.

scholarly journals The impact of digital technologies on business models. Insights from the space industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davide Aloini ◽  
Loretta Latronico ◽  
Luisa Pellegrini
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
High Performance ◽  
Business Models ◽  
Digital Technologies ◽  
Content Type ◽  
Space Industry ◽  
Multiple Case ◽  
The Impact ◽  
Performance Computing

Purpose In the past decade, in the space industry, many initiatives intended at offering open access to big data from space multiplied. Therefore, firms started adopting business models (BMs) which lever on digital technologies (e.g. cloud computing, high-performance computing and artificial intelligence), to seize these opportunities. Within this scenario, this article aims at answering the following research question: which digital technologies do impact which components the BM is made of? Design/methodology/approach An exploratory multiple case study approach was used. Three cases operating in the space industry that lever on digital technologies to implement their business were analyzed. Despite concerns regarding reliability and validity, multiple case studies allow greater understanding of causality, and show superiority respect to quantitative studies for theory building. Findings Big data, system integration (artificial intelligence, high-performance computing) and cloud computing seem to be pivotal in the space industry. It emerges that digital technologies involve all the different areas and components of the BM. Originality/value This paper sheds light on the impact that digital technologies have on the different BM components. It is only understanding which technologies can support the value proposition, which technologies make the infrastructural part able to support this proposition, which technologies may be helpful for delivering and communicating this value to customers and which technologies may help firms to appropriate the value that it is possible to seize the impact of digital technologies on BM.

scholarly journals SOME CHARACTERISTICS OF ENTREPRENEURSHIP IN MEDICINE. THE DIGITALIZATION OF THE MEDICAL SYSTEM IN ROMANIA

2021 ◽  
Vol 70 (2) ◽  
pp. 99-102
Author(s):  
Irina Dijmărescu ◽  
◽  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Healthcare System ◽  
Digital Technologies ◽  
Medical System ◽  
Continuous Growth ◽  
Collaboration Platforms ◽  
Complex Methods

Entrepreneurship and medicine are in continuous growth alongside, and even if they appear to be completely different fields, entrepreneurship in medicine is becoming of remarkable interest, further highlighted by the COVID-19 pandemic. A main reason for this is its ability to use digital technologies, which are meant to improve healthcare. Applying digitalization in healthcare includes not only computer and database use (cloud computing, big data), but more complex methods such as robotics, automation, internet of things, artificial intelligence and, not lastly, collaboration platforms. Some shortcomings in respect to digitalization can be identified in the Romanian healthcare system and these may impact public health. Digitalization may contribute fundamentally to the improvement of public health by increasing performance. However, in the context of the COVID-19 pandemic, other ailments that burden the healthcare system should not be neglected (cardiovascular diseases, malignancies, etc.).

Cybersecurity Issues and Challenges in Industry 4.0

2020 ◽  
pp. 84-101
Author(s):  
Ravdeep Kour
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Online Monitoring ◽  
Cognitive Computing ◽  
Fourth Industrial Revolution ◽  
Entry Points ◽  
Iot Devices

The convergence of information technology (IT) and operational technology (OT) and the associated paradigm shift toward fourth industrial revolution (aka Industry 4.0) in companies has brought tremendous changes in technology vision with innovative technologies such as robotics, big data, cloud computing, online monitoring, internet of things (IoT), cyber-physical systems (CPS), cognitive computing, and artificial intelligence (AI). However, this transition towards the fourth industrial revolution has many benefits in productivity, efficiency, revenues, customer experience, and profitability, but also imposes many challenges. One of the challenges is to manage and secure large amount of data generated from internet of things (IoT) devices that provide many entry points for hackers in the form of a threat to exploit new and existing vulnerabilities within the network. This chapter investigates various cybersecurity issues and challenges in Industry 4.0 with more focus on three industrial case studies.

Sozialinformatik

2020 ◽  
Author(s):  
Helmut Kreidenweis
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Process Management ◽  
Practical Knowledge ◽  
Digital Technologies ◽  
It Security ◽  
Future Trends ◽  
It Use ◽  
Social Informatics

Digital technologies offer many opportunities for social organisations, but they also pose certain risks. The 3rd completely revised edition of the textbook ‘Sozialinformatik’ (Social Informatics) introduces fundamental and current topics in the field of computer science, explains the meaning and purpose of social informatics as a science and explains the dynamics of digital change and its impact on social organisations. It shows the development and status of IT use in this field and explains important future trends such as mobility, cloud computing, big data and artificial intelligence. In addition, it offers didactically prepared practical knowledge with over 115 illustrations for the development of digitisation strategies, IT and process management in social organisations, the use of digital technologies in social work, as well as privacy and IT security. A directory of links as well as exercises and solutions for each chapter complete the book.

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.

FUNCTIONING OF THE EXCHANGE MARKET UNDER THE INFLUENCE OF THE DIGITALIZATION OF THE ECONOMY

2020 ◽  
Vol 2 (11) ◽  
pp. 96-101
Author(s):  
B. А. DEMILKHANOVA ◽  
Keyword(s):  
Stock Market ◽  
Financial Stability ◽  
Technological Development ◽  
Digital Technologies ◽  
Securities Market ◽  
Exchange Market ◽  
Large Circle ◽  
Secondary Markets ◽  
Leading Role ◽  
International Stock Markets

In the article, from the standpoint of reasons and necessity, the qualitative and quantitative characteristics of the key trends in the development of the stock market in Russia are disclosed. The leading role is assigned to the processes of computerization of the exchange market: the introduction and use of digital technologies that ensure the financial stability of the financial market as a whole, its security and transparency, as well as access of a large circle of investors to banking and financial operations, and the protection of their interests. It has been established that the processes of introducing and using digital technologies, organically built into the mechanism of the functioning of the securities market as a whole, determine the directions of development of such trends as innovations, diversification of stock market instruments, securitization, integration with international stock markets, etc. key trends influenced by the technological development of the stock market, lead to blurring the boundaries between the primary and secondary markets.

A fully automated conversational agent with artificial intelligence capabilities (Youper) for treating depression and anxiety: A nonrandomized feasibility trial (Preprint)

2019 ◽  
Author(s):  
Jose Hamilton Vargas ◽  
Thiago Antonio Marafon ◽  
Diego Fernando Couto ◽  
Ricardo Giglio ◽  
Marvin Yan ◽  
...  
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Financial Incentives ◽  
Empirical Support ◽  
Digital Technologies ◽  
Feasibility Trial ◽  
Depression And Anxiety ◽  
Conversational Agents ◽  
Symptoms Of Depression ◽  
Viable Solution

BACKGROUND Mental health conditions, including depression and anxiety disorders, are significant global concerns. Many people with these conditions don't get the help they need because of the high costs of medical treatment and the stigma attached to seeking help. Digital technologies represent a viable solution to these challenges. However, these technologies are often characterized by relatively low adherence and their effectiveness largely remains empirical unverified. While digital technologies may represent a viable solution for this persisting problem, they often lack empirical support for their effectiveness and are characterized by relatively low adherence. Conversational agents using artificial intelligence capabilities have the potential to offer a cost-effective, low-stigma and engaging way of getting mental health care. OBJECTIVE The objective of this study was to evaluate the feasibility, acceptability, and effectiveness of Youper, a mobile application that utilizes a conversational interface and artificial intelligence capabilities to deliver cognitive behavioral therapy-based interventions to reduce symptoms of depression and anxiety in adults. METHODS 1,012 adults with symptoms of depression and anxiety participated in a real-world setting study, entirely remotely, unguided and with no financial incentives, over an 8-week period. Participants completed digital versions of the 9-item Patient Health Questionnaire (PHQ-9) and the 7-item Generalized Anxiety Disorder scale (GAD-7) at baseline, 2, 4, and 8 weeks. RESULTS After the eight-week study period, depression (PHQ-9) scores of participants decreased by 48% while anxiety (GAD-7) scores decreased by 43%. The RCI was outside 2 standard deviations for 93.0% of the individuals in the PHQ-9 assessment and 90.7% in the GAD-7 assessment. Participants were on average 24.79 years old (SD 7.61) and 77% female. On average, participants interacted with Youper 0.9 (SD 1.56) times per week. CONCLUSIONS Results suggest that Youper is a feasible, acceptable, and effective intervention for adults with depression and anxiety. CLINICALTRIAL Since this study involved a nonclinical population, it wasn't registered in a public trials registry.

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