scholarly journals Education, Big Data and Artificial Intelligence: Mixed methods in digital platforms

Comunicar ◽  
2020 ◽  
Vol 28 (65) ◽  
pp. 43-52
Author(s):  
Beatrice Bonami ◽  
Luiz Piazentini ◽  
André Dala-Possa
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Research Application ◽  
Digital Platforms ◽  
Academic Field ◽  
Qualitative And Quantitative ◽  
Methodological Considerations ◽  
Complex Scenario ◽  
The Impact ◽  
Educational Field

Digital technology has provided users with new connections that have reset our understanding of social architectures. As a reaction to Artificial Intelligence (AI) and Big Data, the educational field has rearranged its structure to consider human and non-human stakeholders and their actions on digital platforms. In light of this increasingly complex scenario, this proposal aims to present definitions and discussions about AI and Big Data from the academic field or published by international organizations. The study of AI and Big Data goes beyond the search for mere computational power and instead focuses upon less difficult (yet perhaps more complex) areas of the study social impacts in Education. This research suggests an analysis of education through 21st century skills and the impact of AI development in the age of platforms, undergoing three methodological considerations: research, application and evaluation. To accomplish the research, we relied upon systematic reviews, bibliographic research and quality analyses conducted within case studies to compose a position paper that sheds light on how AI and Big Data work and on what level they can be applied in the field of education. Our goal is to offer a triangular analysis under a multimodal approach to better understand the interface between education and new technological prospects, taking into consideration qualitative and quantitative procedures. La tecnología digital ha traído características de conexión que restablecen nuestra comprensión de arquitecturas sociales. Sobre la Inteligencia Artificial (IA) y Big Data, el campo educativo reorganiza su estructura para considerar a los actores humanos y no humanos y sus acciones en plataformas digitales. En este escenario cada vez más complejo, esta propuesta tiene como objetivo presentar definiciones y debates sobre IA y Big Data de naturaleza académica o publicados por organizaciones internacionales. El estudio de IA y Big Data puede ir más allá de la búsqueda de poder computacional / lógico y entrar en áreas menos difíciles (y quizás más complejas) del campo científico para responder a sus impactos sociales en la educación. Esta investigación sugiere un análisis de la educación a través de las habilidades del siglo XXI y los impactos del desarrollo de IA en la era de las plataformas, pasando por tres ejes de grupos metodológicos: investigación, aplicación y evaluación. Para llevar a cabo la investigación, confiamos en revisiones sistemáticas, investigaciones bibliográficas y análisis de calidad de estudios de casos para componer un documento de posición que arroje luz sobre cómo funcionan la IA y el Big Data y en qué nivel se pueden aplicar en el campo de la educación. Nuestro objetivo es ofrecer un análisis triangular bajo un enfoque multimodal para comprender mejor la interfaz entre la educación y las nuevas perspectivas tecnológicas.

The impact of artificial intelligence and big data on end-stage kidney disease treatments

2021 ◽  
pp. 115076
Author(s):  
Covadonga Díez-Sanmartín ◽  
Antonio Sarasa-Cabezuelo ◽  
Amado Andrés Belmonte
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Kidney Disease ◽  
End Stage Kidney Disease ◽  
End Stage ◽  
The Impact

scholarly journals 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 ◽  
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.

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

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.

Big data and artificial intelligence for health system sustainability: The case of Veneto Region

2021 ◽  
pp. 31-52
Author(s):  
Grazia Dicuonzo ◽  
Francesca Donofrio ◽  
Antonio Fusco ◽  
Vittorio Dell’Atti
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Healthcare System ◽  
Care Delivery ◽  
Research Question ◽  
Health Agency ◽  
Time Frame ◽  
Structured Interviews ◽  
Case Study Methodology ◽  
The Impact

This paper investigates the digitalization challenges facing the Italian healthcare system. The aim of the paper is to support healthcare organizations as they take advantage of the potential of big data and artificial intelligence (AI) to promote sustainable healthcare systems. Both the development of innovative processes in the management of health care activities and the introduction of healthcare forecasting systems are valuable resources for clinical and care activities and enable a more efficient use of inputs in essential-level care delivery. By examining an innovative project developed by the Regional Social Health Agency (ARSS) of Veneto, this study analyses the impact of big data and AI on the sustainability of a healthcare system. In order to answer the research question, we used a case study methodology. We conducted semi-structured interviews with key members of the organizational group involved in the case. The results show that the implementation of AI algorithms based on big data in healthcare both improves the interpretation and processing of data, and reduces the time frame necessary for clinical processes, having a positive effect on sustainability.

The Impact of Innovative Technologies on the Insurance Market Operation

2019 ◽  
Vol 2 (99) ◽  
pp. 6-22 ◽  
Author(s):  
Jerzy Łańcucki
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Present Article ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Insurance Market ◽  
Innovative Technologies ◽  
Market Operation ◽  
Innovative Products ◽  
The Impact

Innovative technologies are being increasingly used on the insurance market, as well. However, while analyzing and assessing their impact on the market what must be taken into account are not only distributors of insurance services, but also institutions performing regulatory and supervisory tasks, and perhaps above all, customers and consumers. The present article seeks to analyze the conditions, benefits and barriers associated with the application of innovative technologies with special regard to big data analytics, artificial intelligence and the possibility of absorption of innovative products and services by their customers.It has been emphasized that while evaluating the suitability of innovative technologies for the insurance market it is vital to confront product offers provided by insurance undertakings and intermediaries with the expectations, needs and skills of the purchasers of these products.

scholarly journals THE INFLUENCE OF DIGITAL TECHNOLOGIES ON THE ORGANIZATION OF ACCOUNTING OF TAX CALCULATIONS

2021 ◽  
Author(s):  
Oksana Butkevich ◽  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Digital Technologies ◽  
Software Products ◽  
Tax Payments ◽  
Working Plan ◽  
Tax Reporting ◽  
Cloud Technologies ◽  
The Impact ◽  
Accounting Policy

The article examines the impact of digital technologies on the organization of accounting for tax payments. It is noted that this area of accounting is one of the most difficult, which determines the relevance of the study of the impact of digital technologies on the organization of accounting for tax payments. The research methodology is based on general scientific methods of cognition: logical, systemic, induction, deduction, analysis. Any company seeks to optimize their size and avoid penalties when making calculations for tax payments. However, in practice, most companies do not pay due attention to the development and implementation of the necessary procedures for optimizing tax calculations. A prerequisite for the optimal tax policy of the enterprise is a rationally developed accounting policy. Formalization of accounting policy is carried out by approving the Order on accounting policy. When forming this internal regulation, it is expedient to single out the section "Organization of accounting for settlements with the budget for tax payments", which discloses the method of accounting for calculations of a tax or fee depending on the nature and specifics of the enterprise, its industry characteristics Of the Tax Code of Ukraine. In this section of the accounting policy of the enterprise it is expedient to include the Working plan of accounts and the schedule of document flow. The final stage of the organization of the account of calculations with the budget on tax payments is drawing up of the tax reporting and its representation. At this stage, the use of digital technologies can significantly reduce the time spent on filling out the appropriate forms of tax reporting, and their submission. The main software products used by modern enterprises in the organization of accounting for tax payments include: technology Artificial intelligence (artificial intelligence), Big Data (big data), Cloud technologies and computing (cloud technology and computing), Blockchain (blockchain). The use of digital technologies in the organization of accounting for tax payments is the key to improving the tax discipline of the enterprise, which in combination with a properly designed and formalized accounting policy of the enterprise avoids the cost of fines and other financial sanctions imposed by fiscal authorities.

scholarly journals BIG DATA IN THE DEVELOPMENT OF THE PLATFORM

2021 ◽  
Vol 9 (6) ◽  
pp. 194-198
Author(s):  
N. K. Samoilov ◽  
O. S. Shkarlat ◽  
D. A. Stepanenko
Keyword(s):  
Big Data ◽  
Business Models ◽  
Negative Impact ◽  
Public Cloud ◽  
Digital Platforms ◽  
Doing Business ◽  
Private And Public ◽  
Effective Use ◽  
The Impact ◽  
Domestic Companies

The study examines cloud platforms, the use of Big Data in modern companies and the impact of big data on the development of digital platforms. We give concepts and comparative characteristics of the most common cloud platforms - private and public. The article defines the conditions for the effective use of platform types of doing business. We have been studied the experience of using Big Data in international and domestic companies. Based on the identified Big Data tasks, conclusions were drawn about the preferred use of private cloud platforms by large enterprises and the use of public cloud platforms by small and medium-sized enterprises. The positive and negative impact of the use of platform business models and big data analysis has been investigated. We made assumptions about the prospects for the development of private and public cloud platforms in Russia and the world.

Sign in / Sign up

Export Citation Format

Share Document