The Impact of Technology Adoption on the Success and Failure of Two Toys Industry: Hasbro and Toys R Us

The value of play has mainly stayed consistent throughout time. Playing is, without a doubt, one of the essential things we can do. Playing in addition to supporting motor, neurological, and social development improves adaptation by encouraging people to explore diverse perspectives on the world and assisting them in developing methods for dealing with problems in a safe setting. The way we play and what we play with have been heavily affected by the quickly evolving technology shaping our daily lives. Artificial intelligence (A.I.) is now found in many products, including vehicles, phones, and vacuum cleaners. This extends to children's items, with the creation of an "Internet of Toys." Many learning, remote control, and app-integrated toys include innovative playthings that employ speech recognition and machine learning to communicate with users. This study examines the impact of technology adoption on the success and failure of two toys industry – Hasbro, Inc and Toys R Us, Inc. The research methodology of this study is based on case studies where the comparison of the two industries was made from a few areas. The finding of the study determines that corporations that evolved consistently with the change of technology will continue to grow in the market. In contrast, the corporation that failed to adopt digital transformation will be a force out of the market.

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ON THE IMPACT OF DIGITAL TRANSFORMATION ON THE ECONOMY

10.18287/978-5-6045610-1-0-32-38 ◽

2020 ◽

pp. 32-38

Author(s):

I. V. Goman ◽

I. N. Shakhtarina

Keyword(s):

Artificial Intelligence ◽

World Economy ◽

Digital Transformation ◽

The World ◽

The Impact

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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How Artificial Intelligence and Machine Learning can Assist in Collections Curation

Biodiversity Information Science and Standards ◽

10.3897/biss.3.37291 ◽

2019 ◽

Vol 3 ◽

Author(s):

Simon Checksfield

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

General Public ◽

Intrinsic Value ◽

Industry Research ◽

Research Organisation ◽

The World ◽

Genetic Barcoding ◽

The Impact

With increasing pressure on the limited taxonomical expertise in not only Commonwealth Scientific and Industry Research Organisation (CSIRO) but the world, new and innovative ways need to be found to assist in the curation and identification of biological specimens. CSIRO, through the National Research Collections Australia (NRCA) and Data 61 is hoping to begin a new program of work focused on using Artificial Intelligence (AI) and Machine Learning to build a framework and tools that can help identify a specimen from an image. The framework will include AI models that have been trained by expert taxonomists, thus providing a level of accuracy that has some intrinsic value. NRCA is also exploring how AI could be linked or cross referenced with another initiative using rapid genetic barcoding to identify all newly collected specimens. Combining genetic and AI determinations will add weight to each, and potentially expose some new AI challenges, such as identifying morphological elements against genomic elements. Whilst acknowledging challenges still exist regarding standards, acceptance of identification, provenance, accuracy and governance, the NRCA is hoping AI can assist in freeing the time of our researchers and technicians to work on more pressing and complex issues by reducing their time spent on basic identification. The impact of such a program will also reach into industry and the general public through tools based on the AI models. There is also an opportunity to use this initiative to create global centers of taxonomic expertise, which anyone can use to help identify a specimen.

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The Digital Transformation and Disruption in Business Models of the Banks under the Impact of FinTech and BigTech

Proceedings of the International Conference on Business Excellence ◽

10.2478/picbe-2020-0028 ◽

2020 ◽

Vol 14 (1) ◽

pp. 294-305

Author(s):

Virginia Mărăcine ◽

Oona Voican ◽

Emil Scarlat

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Big Data ◽

Business Models ◽

Business Processes ◽

Digital Transformation ◽

Operating Costs ◽

Continuous Increase ◽

The Impact

AbstractThe explosive development of artificial intelligence, machine learning and big data methods in the last 10 years has been felt in the financial-banking field which has subjected to profound changes aimed at determining an unprecedented increase in the efficiency and profitability of the businesses they carry out. The tendencies of applying the concepts coming from AI, together with the continuous increase of the volume, complexity and variety of the data that the banks collect, store and process have acquired the generic names of FinTech, respectively BigTech. Five main areas exist where Fintechs and Bigtechs can provide improvements in business models for the banks: introducing specialized platforms, covering neglected customer segments, improving customer selection, reduction of the operating costs of the banks, and optimization of the business processes of the banks. We will present some of these improvements, and then we will show how the business models of the banks dramatically transform under the influence of these changes.

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High-tech cities of the world: problems of use of artificial intelligence

E-Management ◽

10.26425/2658-3445-2018-2-49-54 ◽

2019 ◽

pp. 49-54

Author(s):

K. Komulainen

Keyword(s):

Artificial Intelligence ◽

Technology Development ◽

Daily Life ◽

High Tech ◽

Daily Lives ◽

Human Power ◽

Advantages And Disadvantages ◽

The World ◽

The Moment ◽

The Impact

The goal of the thesis is to highlight the main uses and impacts of artificial intelligence to consumers’ life in high-tech cities such as Singapore. The different ways to exploit artificial intelligence in consumers daily life is explored and the overall impact to society as a whole. Current technology development is substantially rapid which affects various aspects of societies. The article considers advantages and disadvantages of the artificial intelligence to consumers, especially the ethical consideration of artificialintelligence which is becoming increasingly powerful issue. However, artificial intelligence’s development has started with momentum that is challenging to halt, thus, the question is whether we are able to maintain superior control over artificial intelligence.The importance of in-depth understanding of high-tech societies such as Singapore under the impact of artificial intelligence. This type of exploration can suggest various different changes in close future, for instance, concerning economy, transportation, healthcare and communication. Globally, these are issues that are intensely linked to the people’s daily lives affecting substantially to societies, for instance, economical algorithms are carried out already by the artificial intelligence which creates opportunities and threats. Artificial intelligence’s opportunities and threats are still under control, but great number of scholars have been arguing the moment the artificial intelligence is able to begin thinking about its strengths and weaknesses itself. Also, multiple societies and countries have been considering heavily investing into artificial intelligence which can provide substantial advantages to different aspects of society. In addition, greater and growing dependency on artificial intelligence will create vacuum of real human power in societies. Nevertheless, artificial intelligence carries disadvantages for societies too which needs to be scrutinized.

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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 ◽

10.3233/wor-203309 ◽

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.

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

Information Systems Frontiers ◽

10.1007/s10796-021-10131-x ◽

2021 ◽

Author(s):

Francesco Piccialli ◽

Vincenzo Schiano di Cola ◽

Fabio Giampaolo ◽

Salvatore Cuomo

Keyword(s):

Artificial Intelligence ◽

Clinical Trials ◽

Digital Transformation ◽

Daily Activities ◽

Commercial Vehicles ◽

Human Skills ◽

To Come ◽

Complex Scenario ◽

The Impact

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.

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Artificial intelligence and the future of psychiatry: Qualitative findings from a global physician survey

Digital Health ◽

10.1177/2055207620968355 ◽

2020 ◽

Vol 6 ◽

pp. 205520762096835

Author(s):

C Blease ◽

C Locher ◽

M Leon-Carlyle ◽

M Doraiswamy

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Medical Profession ◽

Descriptive Analysis ◽

Psychiatric Practice ◽

Limited Attention ◽

Written Responses ◽

Future Technology ◽

Qualitative Descriptive ◽

The Impact

Background The potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics. Objective This study aimed to explore psychiatrists’ opinions about the potential impact innovations in artificial intelligence and machine learning on psychiatric practice Methods In Spring 2019, we conducted a web-based survey of 791 psychiatrists from 22 countries worldwide. The survey measured opinions about the likelihood future technology would fully replace physicians in performing ten key psychiatric tasks. This study involved qualitative descriptive analysis of written responses (“comments”) to three open-ended questions in the survey. Results Comments were classified into four major categories in relation to the impact of future technology on: (1) patient-psychiatrist interactions; (2) the quality of patient medical care; (3) the profession of psychiatry; and (4) health systems. Overwhelmingly, psychiatrists were skeptical that technology could replace human empathy. Many predicted that ‘man and machine’ would increasingly collaborate in undertaking clinical decisions, with mixed opinions about the benefits and harms of such an arrangement. Participants were optimistic that technology might improve efficiencies and access to care, and reduce costs. Ethical and regulatory considerations received limited attention. Conclusions This study presents timely information on psychiatrists’ views about the scope of artificial intelligence and machine learning on psychiatric practice. Psychiatrists expressed divergent views about the value and impact of future technology with worrying omissions about practice guidelines, and ethical and regulatory issues.

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The Impact of COVID-19: Democracy in the Time of a Pandemic

Social Change ◽

10.1177/00490857211051287 ◽

2021 ◽

Vol 51 (4) ◽

pp. 475-482

Author(s):

Zoya Hasan

Keyword(s):

Social Sciences ◽

Human Rights ◽

Social Development ◽

Health Crisis ◽

Domain Experts ◽

Sharp Focus ◽

The World ◽

Democratic Rights ◽

New Challenges ◽

The Impact

The recent spread of the delta variant of the COVID-19 pandemic in many countries, though uneven, has once again set alarm bells ringing throughout the world. Nearly two years have passed since the onset of this pandemic: vaccines have been developed and vaccination is underway, but the end of the campaign against the pandemic is nowhere in sight. This drive has merely attempted to adjust and readjust, with or without success, to the various fresh challenges that have kept emerging from time to time. The pandemic’s persistence and its handling by the governments both have had implications for citizens’/peoples’ rights as well as for the systems which were in place before the pandemic. In this symposium domain experts investigate, with a sharp focus on India, the interface between the COVID-19 pandemic and democracy, health, education and social sciences. These contributions are notable for their nuanced and insightful examination of the impact of the pandemic on crucial social development issues with special attention to the exacerbated plight of society’s marginalised sections. In India, as in several other countries, the COVID-19 pandemic has affected democracy. The health crisis came at a moment when India was already experiencing democratic backsliding. The pandemic came in handy in imposing greater restrictions on democratic rights, public discussion and political opposition. This note provides an analysis and commentary on how the government’s response to the COVID-19 pandemic impacted governance, at times undermining human rights and democratic processes, and posing a range of new challenges to democracy.

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Risks of the Digitalization of Life of the Population and Ways of Decreasing Them

Ideas and Ideals ◽

10.17212/2075-0862-2021-13.4.1-180-203 ◽

2021 ◽

Vol 13 (4-1) ◽

pp. 180-203

Author(s):

Elena Stukalenko ◽

Keyword(s):

Quality Of Life ◽

Digital Technologies ◽

Well Being ◽

Digital Economy ◽

Digital Transformation ◽

Negative Consequences ◽

Short Period ◽

The World ◽

The Impact

Digital technologies, ubiquitous in our daily life, have radically changed the way we work, communicate, and consume in a short period of time. They affect all components of quality of life: well-being, work, health, education, social connections, environmental quality, the ability to participate and govern civil society, and so on. Digital transformation creates both opportunities and serious risks to the well-being of people. Researchers and statistical agencies around the world are facing a major challenge to develop new tools to analyze the impact of digital transformation on the well-being of the population. The risks are very diverse in nature and it is very difficult to identify the key factor. All researchers conclude that secure digital technologies significantly improve the lives of those who have the skills to use them and pose a serious risk of inequality for society, as they introduce a digital divide between those who have the skills to use them and those who do not. In the article, the author examines the risks created by digital technologies for some components of the quality of life (digital component of the quality of life), which are six main components: the digital quality of the population, providing the population with digital benefits, the labor market in the digital economy, the impact of digitalization on the social sphere, state electronic services for the population and the security of information activities. The study was carried out on the basis of the available statistical base and the results of research by scientists from different countries of the world. The risks of the digital economy cannot be ignored when pursuing state social policy. Attention is paid to government regulation aimed at reducing the negative consequences of digitalization through the prism of national, federal projects and other events.

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