scholarly journals The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

Author(s):  
Francesco Piccialli ◽  
Vincenzo Schiano di Cola ◽  
Fabio Giampaolo ◽  
Salvatore Cuomo

AbstractThe first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has dramatically accelerated the adoption of Artificial Intelligence (AI) in different fields. We have witnessed the equivalent of two years of digital transformation compressed into just a few months. Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. Here we analyze and discuss how AI can support us in facing the ongoing pandemic. Despite the numerous and undeniable contributions of AI, clinical trials and human skills are still required. Even if different strategies have been developed in different states worldwide, the fight against the pandemic seems to have found everywhere a valuable ally in AI, a global and open-source tool capable of providing assistance in this health emergency. A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.

2020 ◽  
Vol 5 (19) ◽  
pp. 32-35
Author(s):  
Anand Vijay ◽  
Kailash Patidar ◽  
Manoj Yadav ◽  
Rishi Kushwah

In this paper an analytical survey on the role of machine learning algorithms in case of intrusion detection has been presented and discussed. This paper shows the analytical aspects in the development of efficient intrusion detection system (IDS). The related study for the development of this system has been presented in terms of computational methods. The discussed methods are data mining, artificial intelligence and machine learning. It has been discussed along with the attack parameters and attack types. This paper also elaborates the impact of different attack and handling mechanism based on the previous papers.


E-Management ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 26-36
Author(s):  
A. A. Dashkov ◽  
Yu. O. Nesterova

The digital transformation of our world and the inevitable interaction between people, digital technologies and physical assets create a rapidly changing and complex environment that requires organizations to be more flexible, better fit and ready to accept new ways of working. Businesses are coming to realize the need for change to operate successfully in the digital age. In the period of global digitalization, information and communication technologies are one of the most important aspects of existence for a business, which makes it more efficient, efficient and allows you to respond quickly to a rapidly changing external environment, as well as customer needs. At the moment, there is a high interest in the possibilities of artificial intelligence for use in business tasks in the world, as there are already examples of successful implementation, when Artificial Intelligence and machine learning radically change the way they work and increase the profit of organizations in different countries.The purpose of this study is to consider how artificial intelligence affects the value proposition and how the elements of the business model change when using this technology. The paper gives the existing examples of the use of technology, the consequences of its application and the emerging prospects for the use of Artificial Intelligence as one of the advanced technologies of digital transformation.


Author(s):  
Mohammad Ayub Khan

This chapter discusses the role of corporate universities in the field of higher education and the impact of the same on conventional or traditional universities and their corresponding business schools. This chapter also proposes some strategic actions for the traditional universities to pursue in order to maintain competitive advantage over the emerging corporate universities. Some of these strategic actions include promoting and developing strong long-term and multipurpose strategic alliances with the industry, government institutions, and community development groups. Collaborative strategies are better than competitive behavior in terms of long-term benefits and costs associated with each of these strategies. Moreover, being in the forefront of learning innovation and knowledge management combined with the provision of high quality education and trainings through innovative, diverse, and flexible academic and training programs will help the traditional universities to remain the main supplier of knowledge in times to come.


Author(s):  
Christina L. McDowell Marinchak ◽  
Edward Forrest ◽  
Bogdan Hoanca

This entry will review the state of the art in AI, with a particular focus on applications in marketing. Based on the current capabilities of AI in marketing, the author's explore the new rules of engagement. Rather than simply targeting consumers, the marketing effort will also be directed at the algorithms controlling the consumers' virtual personal assistants (VPAs). Rather than exploiting human desires and weakness, marketing will need to focus on meeting the user's actual needs. The level of customer satisfaction will be even more critical as marketing will need to focus on establishing and maintaining a reputation in competition with those of similar offerings in the marketplace. This entry concludes with thoughts on the long-term implications, exploring the role of customer trust in the adoption of AI agents, the security requirements for agents and the ethical implications of access to such agents.


Author(s):  
Heru Susanto ◽  
Leu Fang Yie ◽  
Didi Rosiyadi ◽  
Akbari Indra Basuki ◽  
Desi Setiana

Digital ecosystems have grown rapidly over the years, and governments are investing in digital provision for their processes and services. Despite the advantages of distributed technologies, there are many security issues as well that result in breaches of data privacy with serious impact including legal and reputational implications. To deal with such threats, government agencies need to thoughtfully improve their security defences to protect data and systems by using automation and artificial intelligence (AI), as well as easing the data security measures including early warning of threats and detection. This study provides a comprehensive view of AI and automaton to highlight challenges and issues concerning data security and suggests steps to combat the issues. The authors demonstrate the role of AI-driven security tools and automation to mitigate the impact of data breaches to also propose recommendations for government agencies to enhance their data security protection.


Author(s):  
Belal Hafnawi

Digital transformation is the core value of the 4th industrial revolution or Industry 4.0. Although the efforts are focused on utilization and usage of technologies like artificial intelligence, internet of things, cloud computing, and many other technologies. We should focus in parallel on regulating the technologies to provide the proper road map and put the proper regulatory frameworks to remove uncertainties in development, investment, or implementation of technologies. Regulatory effectiveness is very important in saving time and rolling out technologies. In one initiative, regulatory technology (RegTech) will utilize the technology to enhance the regulatory process in financial sector; Regulation 4.0 is another; however, plenty of work is still ahead. Some regulators are keen to facilitate the emerging technologies and to see the consequences immediately, thus they use sandbox thinking in evaluating the impact at a small scale. In summary, this chapter will highlight the different practices and methodologies to regulate the digital transformation in the best way.


2020 ◽  
pp. 437-450
Author(s):  
Kailash Krishnan ◽  
Nikola Sprigg

‘Research trials in the older stroke patient’ examines the challenges of research in older people, the phenomenon of ageism, the impact of frailty, trials of acute treatments like intravenous thrombolysis and endovascular therapy, acute lowering of blood pressure, and decompressive hemicraniectomy. Trials looking at secondary prevention, including cardioembolism, role of the newer oral anticoagulants (DOACs), carotid endarterectomy, lipid lowering, antihypertensive therapy, are examined. The broader issue of difficulties in recruiting older people to stroke trials and the potential solutions are discussed. Until recently most participants in clinical trials of stroke have been relatively young with little or no comorbidity. With a group growing more than any other, it becomes a priority to understand the challenges in recruiting and retaining older patients into clinical trials. Barriers to recruitment relate to both researchers and participants; solutions include good communication, logistical support, and innovative study design and sampling. Further research will hopefully narrow the gap to those seen in real-world clinical practice.


1973 ◽  
Vol 27 (1) ◽  
pp. 85-98 ◽  
Author(s):  
Thomas J. Volgy

As periodic stock–taking efforts would indicate,1students of international organizations have become increasingly sophisticated in the methods and techniques used for assessing the dynamics of international efforts at cooperation, and the impact of these efforts on the general stream of international politics. Nowhere has this been more true than in attempts by scholars to come to grips with the political processes acted out in the General Assembly of the United Nations. To para–phrase Keohane,2we have come to witness a change of focus from a somewhat static description of structures, rules and regulations, to analyses of patterns of voting behavior (and correlates thereof) to, finally, systematic analyses of patterns of interactions leading to votes and resolutions.


2020 ◽  
pp. 32-38
Author(s):  
I. V. Goman ◽  
I. N. Shakhtarina

The article is devoted to the study of the impact global digitalization on the economy. The analysis of the development of technologies, including digital ones, and their impact on the world economy was carried out. Historical works describing possible changes in the mechanism of benefits distribution were studied. The main concerns related to digitalization, creation of artificial intelligence and global robotization were considered. Assumptions regarding possible development of the economy were made.


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