scholarly journals Analysis Of The Variables Of Intention Of The Adoption And Acceptance Of Artificial Intelligence And Big Data Tools Among Leaders Of Organizations In Morocco: Attempt Of A Theoretical Study

2021 ◽  
Vol 17 (29) ◽  
pp. 106
Author(s):  
Moudni Yousra ◽  
Chafik Khalid
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Business Performance ◽  
New Technologies ◽  
Added Value ◽  
Research Model ◽  
Current State ◽  
Behavioral Variables ◽  
Industry Sectors ◽  
Do So

Artificial intelligence and big data are two emerging technologies that is now gaining ground among organizations. Their added value and their impact on business performance differ from one industry to another. Due to increased competitiveness, and in order to survive in the market, companies are led to adopt these new technologies that will enable them to be more performant and offer customers goods or services that meet their real needs since this approach is based on data collected from outside the company's environment. To do so, it is important to know and analyze beforehand the factors and variables that impact the adoption and acceptance process in order to manage them. This paper focuses on establishing a synthetic literature review to find out the current state of researches on the problems of AI and Big data adoption and acceptance, and it also argument the empirical sector’s choice. The findings of this study show that agricultural and chemical industry sectors are the two most promising sectors for AI in Morocco. As a result, a comparative analysis will be conducted after the development of the research model on these two fields in order to analyze the variables of adoption and acceptance of AI. Also, the most influential variables according to the literature were detected in this paper, which are grouped into four (4) types: technological, organizational, environmental, and behavioral variables.

scholarly journals Leviathan, or the Rudder of Public Health

2017 ◽  
Vol 2 (Suppl. 1) ◽  
pp. 1-8
Author(s):  
Denis Horgan ◽  
Walter Ricciardi
Keyword(s):  
Public Health ◽  
Big Data ◽  
New Technologies ◽  
Personalised Medicine ◽  
Member States ◽  
Reform Agenda ◽  
The World ◽  
The Face ◽  
The Eu ◽  
Do So

In the world of modern health, despite the fact that we've been blessed with amazing advances of late - the advent of personalised medicine is just one example - “change” for most citizens seems slow. There are clear discrepancies in availability of the best care for all, the divisions in access from country to country, wealthy to poor, are large. There are even discrepancies between regions of the larger countries, where access often varies alarmingly. Too many Member States (with their competence for healthcare) appear to be clinging stubbornly to the concept of “one-size-fits-all” in healthcare and often stifle advances possible through personalised medicine. Meanwhile, the legislative arena encompassing health has grown big and unwieldy in many respects. And bigger is not always better. The health advances spoken of above, an increased knowledge on the part of patients, the emergence of Big Data and more, are quickly changing the face of healthcare in Europe. But healthcare thinking across the EU isn't changing fast enough. The new technologies will certainly speak for themselves, but only if allowed to do so. Acknowledging that, this article highlights a positive reform agenda, while explaining that new avenues need to be explored.

scholarly journals Medical Physics Contributes to The Advancement in Medicine

2021 ◽  
Vol 14 ◽  
pp. 1-7
Author(s):  
Kwan Hoong Ng ◽  
Jeannie Hsiu Ding Wong ◽  
Chai Hong Yeong ◽  
Hafiz Mohd Zin ◽  
Noriah Jamal
Keyword(s):  
Artificial Intelligence ◽  
Nuclear Medicine ◽  
Big Data ◽  
New Technologies ◽  
Medical Physics ◽  
Knowledge And Skills ◽  
X Ray ◽  
Medical Physicists ◽  
Medicine Today ◽  
Improve Health

Medical physics is the application of physics principles and techniques in medicine. Medical physicists are actively applying their knowledge and skills in the prevention, diagnosis and treatment of diseases to improve health via research and clinical practice. In this paper, we present the roles of medical physicists in the three primary fields, namely, diagnostic imaging, radiotherapy and nuclear medicine.  Medical physicists have been playing a crucial role in the advancement of new technologies that have revolutionised medicine today. This includes the continuous development of medical imaging and radiotherapy techniques since the discovery of X-ray and radioactivity. The last decade has seen tremendous development in the field that allows for better diagnosis and targeted treatment of various diseases. In the era of big data and artificial intelligence, while medical physicists continue to ensure that the application of the technologies in medicine is optimal and safe, it is paramount for the profession to evolve and be equipped with new skills to continue to contribute to the advancement of medicine.

scholarly journals Application Problems and Solutions of Intelligent Airport Service Robots

2020 ◽  
Vol 198 ◽  
pp. 04030
Author(s):  
Dai Yanyan ◽  
Chen Meng
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Large Scale ◽  
New Technologies ◽  
Effective Means ◽  
Third Party ◽  
Service Robots ◽  
Service Robot ◽  
Operation Conditions

With the development of new technologies such as artificial intelligence, big data, and cloud computing, the “intelligent airport” is considered to be an effective means to solve or alleviate the current industry problems such as large-scale airport business, the large number of operating entities, and the complicated operation conditions. This paper is about the collaboration between universities and enterprises based on the concept of service design. Relying on big data and cloud computing technology, this paper addresses the problems of airport service robots in inquiries, blind spots of security inspection, and full monomer smart navigation diffluence, combined with the basic technology of service robot artificial intelligence and the third-party interface to design solutions to effectively solve the problems of process.

scholarly journals A technologist view of the next decade evolution of the librarian work environment

2018 ◽  
Vol 186 ◽  
pp. 09004
Author(s):  
André Schaaff ◽  
Marc Wenger
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Work Environment ◽  
New Technologies ◽  
State Of The Art ◽  
Working Environment ◽  
Online Resources ◽  
Mining Machine ◽  
Daily Work

The work environment has deeply evolved in recent decades with the generalisation of IT in terms of hardware, online resources and software. Librarians do not escape this movement and their working environment is becoming essentially digital (databases, online publications, Wikis, specialised software, etc.). With the Big Data era, new tools will be available, implementing artificial intelligence, text mining, machine learning, etc. Most of these technologies already exist but they will become widespread and strongly impact our ways of working. The development of social networks that are "business" oriented will also have an increasing influence. In this context, it is interesting to reflect on how the work environment of librarians will evolve. Maintaining interest in the daily work is fundamental and over-automation is not desirable. It is imperative to keep the human-driven factor. We draw on state of the art new technologies which impact their work, and initiate a discussion about how to integrate them while preserving their expertise.

scholarly journals Empowering IT Operations through Artificial Intelligence – A New Business Perspective

2020 ◽  
Author(s):  
Logica Banica ◽  
Persefoni Polychronidou ◽  
Cristian Stefan ◽  
Alina Hagiu
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Business Performance ◽  
Business Environment ◽  
Infrastructure Monitoring ◽  
Parallel Data ◽  
New Business ◽  
Main Components ◽  
It Operations

This paper aims to describe the concept of applying Artificial Intelligence to IT Operations (AIOps) and its main components, Big Data, Machine Learning and Trend Analysis. The concept was implemented by developing a multi-layered fusion of the technologies that powers the components in AIOps platforms present on the IT market. The core of an AIOps platform is represented by the Big Data organization structure and by a massive parallel data processing platform like Apache Hadoop. The ML component of the platform is able to infer the future behaviour and the regular operations that are performed from the large volume of collected data, in order to develop the ability to automate the activities. AIOps platforms find their place especially in very complex IT infrastructures, ones that require constant monitoring and quick decisions in case of failures. The case study is based on the Moogsoft AIOps platform, and its features are presented in detail, using the Cloud trial version, clearly showing the potential of such an advanced tool for infrastructure monitoring and reporting. The experiment was focused on the way Moogsoft is monitoring computing resources,    is handling events and records alerts for the defined timespan, alerts grouped by category (like web services, social media, networking). The platform is also able to display at any given moment the unresolved situations and their type of origin, and includes automated remediation tools. The study presents the features of this software category, consisting in benefits for the business environment and their integration into the Internet-of-Things model. Keywords: Big Data, Machine Learning, AIOps, business performance.

RESEARCH ON THE CONSTRUCTION OF A NEW SMART CITY IN HUZHOU (CHINA)

2021 ◽  
pp. 25-29
Author(s):  
Menglin Xu
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart City ◽  
New Technologies ◽  
Living Environment ◽  
Scientific Management ◽  
City Management ◽  
Starting Point ◽  
Wide Range ◽  
Countermeasures And Suggestions

Taking solving urban problems and serving urban development as the starting point, smart city comprehensively uses information technology means such as big data, network communication, artificial intelligence and satellite remote sensing to solve population, resource and environmental problems in combination with scientific management methods. It is a new intelligent city model proposed to promote urban health, safety and sustainable development. Through the background of smart city, focusing on the core issues such as what is a smart city, what kind of smart city to build and how to build a smart city, and based on the analysis and investigation of the development status of the smart city in Huzhou, this paper analyzes and expounds the problems existing in the construction of the smart city in Huzhou, This paper puts forward the countermeasures and suggestions to promote the development of the new smart city in Huzhou City. It gives information on further development within the proper implementation of the smart city concept. Firstly, this concept needs a wide range of specialists in the field of management, informatics, geography, architecture, regional economy, who should work in close cooperation synergistically. Secondly, it is substantial to applicate new technologies, for instance, they can be cloud computing, big data, GIS, the Internet of Things and artificial intelligence, etc. The current state of construction of a smart city is emphasized in unsatisfactory condition, hence, the development of the smart city in Huzhou needs all of the above factors. In the light of all evidence, to further develop a smart city, a set of measures is recommended, including clarifying development goals and providing scientific assistance to construction, providing smart planning, strengthening leadership and introduction of new technologies, establishing communications to explain the concept of building a smart city. Such a city will have convenient public services, improved city management, a proper living environment, well-developed intellectual infrastructure and long-term network security.

Technology Use and Innovation Strategies in Event Tourism

2022 ◽  
pp. 104-121
Author(s):  
Tuba Türkmendağ ◽  
Zafer Türkmendağ
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Technology Use ◽  
New Technologies ◽  
Direct Marketing ◽  
Behavioral Changes ◽  
The World ◽  
Event Tourism ◽  
Innovation Strategies ◽  
Management Effects

Event tourism has undergone a serious change in the world with developing technology and innovations. In this respect, this chapter examines the direct, marketing, and management effects of technology on event tourism with a literature review. Studies in this field in the literature show that technologies such as artificial intelligence, big data, robots, decision support systems, internet of things, 5G cause behavioral changes in tourists; thus, event organizers use these technologies effectively to keep up with this change. In this context, academic studies in the field, new technologies, and methods used, innovation strategies are explained in detail in the book section, and a framework has been developed and presented to examine smart event tourism in detail. The results of the research are thought to contribute to the literature and offer managerial solutions.

scholarly journals Combining Big Data and Artificial Intelligence for Managing Collective Knowledge in Unpredictable Environment—Insights from the Chinese Case in Facing COVID-19

2020 ◽  
Author(s):  
Francesca Iandolo ◽  
Francesca Loia ◽  
Irene Fulco ◽  
Chiara Nespoli ◽  
Francesco Caputo
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Knowledge Management ◽  
Business Models ◽  
New Technologies ◽  
Human Machine Interaction ◽  
Decision Making Processes ◽  
Unpredictable Environment ◽  
Definition Of ◽  
Machine Interaction

AbstractThe increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths.In such a scenario, the paper aims at describing the potential role of big data and artificial intelligence in the path toward a collective approach to knowledge management. Thanks to the interpretative lens provided by systems thinking, a framework able to explain human-machine interaction is depicted and its contribution to the definition of a collective approach to knowledge management in unpredictable environment is traced.Reflections herein are briefly discussed with reference to the Chinese governmental approach for managing COVID-19 spread to emphasise the support that a technology-based collective approach to knowledge management can provide to decision-making processes in unpredictable environments.

scholarly journals Influential Usage of Big Data and Artificial Intelligence in Healthcare

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yan Cheng Yang ◽  
Saad Ul Islam ◽  
Asra Noor ◽  
Sadia Khan ◽  
Waseem Afsar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Tumor Biology ◽  
Health Sector ◽  
Clinical Work ◽  
Information And Communications Technology ◽  
Added Value ◽  
Medical Health ◽  
Electronic Health

Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life. The enhancement in information and communications technology (ICT) has indisputably improved the quality of people’s lives around the globe. Especially, ICT has led to a very needy and tremendous improvement in the health sector which is commonly known as electronic health (eHealth) and medical health (mHealth). Deep machine learning and AI approaches are commonly presented in many applications using big data, which consists of all relevant data about the medical health and diseases which a model can access at the time of execution or diagnosis of diseases. For example, cardiovascular imaging has now accurate imaging combined with big data from the eHealth record and pathology to better characterize the disease and personalized therapy. In clinical work and imaging, cancer care is getting improved by knowing the tumor biology and helping in the implementation of precision medicine. The Markov model is used to extract new approaches for leveraging cancer. In this paper, we have reviewed existing research relevant to eHealth and mHealth where various models are discussed which uses big data for the diagnosis and healthcare system. This paper summarizes the recent promising applications of AI and big data in medical health and electronic health, which have potentially added value to diagnosis and patient care.

scholarly journals Big data for whose sake? Governing migration through artificial intelligence

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Tuba Bircan ◽  
Emre Eren Korkmaz
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
New Technologies ◽  
Control Function ◽  
Big Data Analytics ◽  
Fundamental Rights ◽  
High Tech ◽  
Human Beings ◽  
Security Threat ◽  
Data Accessibility

AbstractAlthough human activity constantly generates massive amounts of data, these data can only be analysed by mainly the private sector and governmental institutes due to data accessibility restrictions. However, neither migrants (as the producers of this data) nor migration scholars (as scientific experts on the topic) are in a position to monitor or control how governments and corporations use such data. Big Data analytics and Artificial Intelligence (AI) technologies are promoted as cutting-edge solutions to ongoing and emerging social, economic and governance challenges. Meanwhile, states increasingly rely on digital and frontier technologies to manage borders and control migratory movements, and the defence industry and military–intelligence sectors provide high-tech tools to support these efforts. Worryingly, during the design and testing of algorithmic tools, migrants are often portrayed as a security threat instead of human beings with fundamental rights and liberties. Thus, privacy, data protection, and confidentiality issues continue to pose risks and challenges to migrant communities and raise important questions for the public and decision-makers alike. This comment seeks to shed light on the lack of effective regulation of AI and Big Data as they are applied in migration ‘management’. Additionally, from the perspective of privacy issues and immigrant rights (seeking asylum as a human right, it aims at advocating improved access to Big Data for scientific research which might act as a social control function for the smart border and existing/ongoing migration governance practices of countries. We argue that the use of Big Data and AI for migration governance requires much better collaboration between migrants (including the civil society and grassroots organisations solidarity that represent them), data scientists, migration scholars and policymakers if the potential of these technologies is to be reached in a way that is reasonable and ethical. Numerous critical privacy questions arise are regarding the legal requirements, confidentiality, and rules of engagement as well as the ethical concerns of (mis)use of new technologies. When the secretive nature of the ongoing exploitation of migrant data by states and corporations is considered raising such questions is essential for progress.

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