Future Education within Disruptive Technologies Developments

2020 ◽  
Vol 26 (2) ◽  
pp. 288-293
Author(s):  
Codrin-Leonard Herţanu
Keyword(s):  
Artificial Intelligence ◽  
New Paradigm ◽  
Contemporary World ◽  
Disruptive Technologies ◽  
Educational Domain ◽  
Blockchain Technology ◽  
How People Learn ◽  
Future Education ◽  
Present World ◽  
Technology Domain

AbstractOur contemporary world is on the verge of crucial changes of an unparalleled pace. The ‘technological changeover’ is the new paradigm caused by the unprecedented evolution of the disruptive technologies. The present world has the tendency to evolve at least exponential, therefore future educational environment is fairly different than its present layout. An entire array of nowadays studies widely recognizes that the progress of the disruptive technologies will pose a meaningful impact over the educational system evolution. Among the most spectacular technologies with disruptive features we should encounter Artificial Intelligence, Blockchain Technology, Cloud Computing, and the like. In an era of technological disruption the education is seen as the new currency. With the help of Artificial Intelligence, for instance, the education system could track how people learn from kindergarten to retirement. Besides, the technology domain will move the centre of gravity from the institutional area to that of the education’s beneficiaries, as we might expect that they will recruit and employ the needed teacher staff, not the institutions. Moreover, the education’s recipients will be the main creators of tomorrow’s professions and within their community the overarching events will happen and the main decisions will be taken in the educational domain.

scholarly journals The Synthesis of Blockchain, Artificial Intelligence and Internet of Things

2020 ◽  
Vol 5 (5) ◽  
pp. 588-593
Author(s):  
Brian Parker ◽  
Christian Bach
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Third Party ◽  
Smart Devices ◽  
Learning Technology ◽  
Digital Information ◽  
New Paradigm ◽  
Resource Limitations ◽  
Blockchain Technology ◽  
High Level

This paper is an exploration of several theories on the synthesis of the Blockchain(BC), the Internet of Things (IoT), and Artificial Intelligence(AI) through a literature review. Blockchain technology is a decentralized peer-to-peer network that stores records and transactions in immutable blocks secured by cryptography. The decentralization aspect of blockchain eliminates the need for trusted third party interceder. Internet of Things(IoT) is an interrelated computer system that makes a connection between computers and humans to communicate in several areas; smart devices like homes, cars, radio are just a few examples. IoT challenges are security, connectivity, issues with the analysis of big data, centralization, and vulnerability to attacks.  Artificial Intelligence(AI) machine learning technology is the advanced decision-making process that influences daily routines such as banking, healthcare, gaming, transportation, and space exploration, among others. AI’s challenges are; security, centralized architecture, and resource limitations. The methodology will be a comprehensive quantitative analysis of the existing research and how these technologies can be a transformative impact on how information is accessed through enterprise and society. The convergence of BC, AI, and IoT will provide scalable, secure high-level intellectual functioning that will be the new paradigm of digital information.

Cross-Industry Use of Blockchain Technology and Opportunities for the Future

2020 ◽  
pp. 64-79
Author(s):  
Dhanalakshmi Senthilkumar
Keyword(s):  
Artificial Intelligence ◽  
Data Storage ◽  
Data Input ◽  
Artificial Intelligence Techniques ◽  
Disruptive Technologies ◽  
Blockchain Technology ◽  
Multiple Data ◽  
The Future ◽  
Multiple Domains

Blockchain and artificial intelligence are two disruptive technologies in the today's world; Blockchain can connect data storage and data users from multiple domains, and different kinds of analytics applications run on top of the data in artificial intelligence techniques. So that Blockchain technology provide the excellent backbone for the development of artificial intelligence algorithms, it is useful to secure the data input from multiple data storage locations and to have whatever applications running on top of the data in a Blockchain visible to everyone. The concept of Blockchain technology and artificial intelligence techniques together develop interesting uses cases and nice applications. When paired with Blockchains, AI is better understood by humans, operates more efficiently, and the blockchains in general more efficiently. AI and Blockchain together support B2B environment and getting better outcomes.

Application of Disruptive Technologies to the Management and Preservation of Records

Mousaion ◽  
2019 ◽  
Vol 37 (1) ◽  
Author(s):  
Thomas Modiba ◽  
Mpho Ngoepe ◽  
Patrick Ngulube
Keyword(s):  
Artificial Intelligence ◽  
South Africa ◽  
Public Sector ◽  
The United States ◽  
Records Management ◽  
Digital Repository ◽  
The Public ◽  
Disruptive Technologies ◽  
Blockchain Technology ◽  
Trusted Digital Repository

Disruptive technologies are widely used in semi-periphery and core countries such as the United States of America, Australia, Croatia, and China to manage and preserve records. However, the same cannot be said about periphery countries, especially on the African continent. These countries, including South Africa, are struggling with the digitalisation of records, let alone the management of paper-based records. This study, conducted in the public sector in South Africa, explores literature review to critically analyse challenges to archival functions that can be mitigated through the application of artificial intelligence technologies. Findings reveal problems relating to governance in a digital environment, a lack of accountability, the high level of litigation rates, bad audit results, and a lack of or poor service delivery emanating from a breakdown in records systems in South Africa. Both paper-based and digital records management systems in the public sector in South Africa are in a state of disarray. As a result, the preservation of digital records is slowly taking place, which leads to the loss of memory for the entire public sector. It is concluded that the market is ripe for disruptive technologies such as artificial intelligence, cloud computing and blockchain in the management and preservation of records in the South African public sector. The study recommends that governmental bodies cautiously consider exploring the possibility of storing their records in a trusted digital repository cloud as an interim solution while observing legal obligations. Other technologies such as blockchain technology can also be adopted to ensure the security of records.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

scholarly journals Blockchain Disrupting Fintech and the Banking System

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 24
Author(s):  
Eduard Alexandru Stoica ◽  
Daria Maria Sitea
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Financial Institutions ◽  
New World ◽  
Great Part ◽  
Banking System ◽  
Daily Activities ◽  
Blockchain Technology ◽  
Almost All

Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-peer lending. Blockchain technology is now enjoying great popularity. Thus, a great part of the focus of this research paper is on Elrond. The outcomes highlight the relevance of technology in digital finance.

Trends in the Development of Electronic Document Management: Prospects, Problems, Opportunities

2021 ◽  
Vol 27 (12) ◽  
pp. 963-970
Author(s):  
S. A. Zhutyaeva ◽  
T. A. Lysova
Keyword(s):  
Artificial Intelligence ◽  
Legal Status ◽  
Business Processes ◽  
Document Management ◽  
Electronic Document ◽  
Work Processes ◽  
Blockchain Technology ◽  
Electronic Document Management ◽  
Corporate System ◽  
The Impact

Aim. The presented study aims to determine the role and place of electronic document management in the corporate system of Russian enterprises, outlining the prospects for its development.Tasks. The authors examine the legislative acts of the Russian Federation on the prospects for the implementation of electronic document management; assess the impact of the pandemic on the digitalization of document management; analyze the business costs of paper document management; identify the advantages of using electronic document management and promising technologies in document processing.Methods. This study uses theoretical and empirical research methods. The dialectic method is used to determine the role, significance, and legal status of electronic document management. Through a logical approach, the essence of such concepts as 'electronic document' and 'electronic document management' is identified.Results. The study presents directions for the development of electronic document management using blockchain technology, which will improve workflows by processing, sorting, exchanging data and documents protected from unauthorized access, and artificial intelligence, which can help organizations process documents faster by simplifying operational procedures. Obstacles that prevent companies from actively using electronic document management are identified. These include additional investment, time costs, and reorganization of management. The volume of innovative services is analyzed by the type of economic activity, and the costs of creating, storing, and processing paper documents are considered.Conclusions. Recent trends in legislation indicate the government's firm commitment to the speedy introduction of electronic document management in Russia. Its use frees up a lot of resources, including time, labor, and finances. The 2020 pandemic has emphasized the importance of digitalizing business processes to ensure their continuity in unforeseen situations. Integrated into the automation of work processes, blockchain technology will ensure the protection of information from unauthorized tampering. Artificial intelligence will open up new opportunities for processing electronic documents.

scholarly journals In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare

2021 ◽  
Vol 4 ◽  
Author(s):  
Mustafa Y. Topaloglu ◽  
Elisabeth M. Morrell ◽  
Suraj Rajendran ◽  
Umit Topaloglu
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Dice Coefficient ◽  
New Paradigm ◽  
Underrepresented Groups ◽  
Patient Protection ◽  
Shapley Values ◽  
Geographically Distributed ◽  
Computationally Expensive ◽  
Improved Performance

Artificial Intelligence and its subdomain, Machine Learning (ML), have shown the potential to make an unprecedented impact in healthcare. Federated Learning (FL) has been introduced to alleviate some of the limitations of ML, particularly the capability to train on larger datasets for improved performance, which is usually cumbersome for an inter-institutional collaboration due to existing patient protection laws and regulations. Moreover, FL may also play a crucial role in circumventing ML’s exigent bias problem by accessing underrepresented groups’ data spanning geographically distributed locations. In this paper, we have discussed three FL challenges, namely: privacy of the model exchange, ethical perspectives, and legal considerations. Lastly, we have proposed a model that could aide in assessing data contributions of a FL implementation. In light of the expediency and adaptability of using the Sørensen–Dice Coefficient over the more limited (e.g., horizontal FL) and computationally expensive Shapley Values, we sought to demonstrate a new paradigm that we hope, will become invaluable for sharing any profit and responsibilities that may accompany a FL endeavor.

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