scholarly journals Data Security and Privacy-Preserving Framework Using Machine Learning and Blockchain in Big-Data to Data Middle Platform in the Era of IR 4.0

2021 ◽  
Author(s):  
Chen Chuqiao ◽  
S.B. Goyal
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Security And Privacy ◽  
Fourth Industrial Revolution ◽  
Data Life Cycle ◽  
Suitable Framework ◽  
Distributed Cloud

The modem data is collected by using IoT, stored in distributed cloud storage, and issued for data mining or training artificial intelligence. These new digital technologies integrate into the data middle platform have facilitated the progress of industry, promoted the fourth industrial revolution. And it also has caused challenges in security and privacy-preventing. The privacy data breach can happen in any phase of the Big-Data life cycle, and the Data Middle Platform also faces similar situations. How to make the privacy avoid leakage is exigency. The traditional privacy-preventing model is not enough, we need the help of Machine-Learning and the Blockchain. In this research, the researcher reviews the security and privacy-preventing in Big-Data, Machine Learning, Blockchain, and other related works at first. And then finding some gaps between the theory and the actual work. Based on these gaps, trying to create a suitable framework to guide the industry to protect their privacy when the organization contribute and operate their data middle platform. No only academicians, but also industry practitioners especially SMEs will get the benefit from this research.

Potentially Relevant Digital Technologies

2018 ◽  
pp. 21-41
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Revolution ◽  
Learning Experience ◽  
Digital Technologies ◽  
Main Section ◽  
Fourth Industrial Revolution ◽  
Practical Reality ◽  
Self Driving Cars ◽  
Or Applications

In this chapter, Smith and Pourdehnad discuss two digital technologies, Artificial Intelligence (AI) and Crowdsourcing, that are not considered fundamental to current applications of the Fourth Industrial Revolution. These authors believe that these technologies are well worth consideration for some industries or applications as explained in this chapter. AI has become a practical reality in recent years through new tangible innovations such as the advent of self-driving cars, and some very human-like robots, and also as a result of improved machine learning experience. As familiarity with machine learning has grown, so have AI applications. AI is discussed in the first section together with Machine Learning; Crowdsourcing is discussed at length in the second main section.

Records Management in the Fourth Industrial Revolution

2021 ◽  
pp. 1-24
Author(s):  
Adeyinka Tella ◽  
Oluwakemi Titilola Olaniyi ◽  
Aderinola Ololade Dunmade
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Industrial Revolution ◽  
Records Management ◽  
Technological Advancement ◽  
Fourth Industrial Revolution ◽  
Industrial Revolutions ◽  
The Way

The chapter looked at records management in the fourth industrial revolution (4IR) with the challenges and the way forward. The chapter discussed the industrial revolutions, records management, and the fourth industrial revolution (4IR), and described the advancement in records management in the 4IR based on the 4IR tools and technologies including artificial intelligence, blockchain, internet of things (IoT), robotics, and big data. The chapter also identified and discussed the benefits of technological advancement in the management of records; challenges of records management at the wake of 4IR and charted the way forward. In the context of document and records management, and taking into account all characteristics of the 4IR technologies and tools as well as its underlying technologies and concepts, the chapter concluded that the 4IR tools can be used to save time to create and process records, secure records from being damaged or destroyed, confirm the integrity of records, among others.

A Study in Distant Reading: Genre and the Longue Durée in the Age of AI

2020 ◽  
Vol 81 (4) ◽  
pp. 491-525
Author(s):  
Lauren M. E. Goodlad
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Revolution ◽  
Reading First ◽  
Crime Fiction ◽  
Distant Reading ◽  
Sherlock Holmes ◽  
Fourth Industrial Revolution ◽  
Longue Duree ◽  
Machine Reading

Abstract This essay explores “distant reading,” first, as a project of studying genre at supratextual scales of analysis (from early conceptions to computationalist successors) and, second, through the prescient late Victorian literary persona with which the latter practices intersect. A Study in Scarlet, the novella that introduced Sherlock Holmes, offers the first meditation on distant reading. A split double plot that anticipates generic fissures within crime fiction broadly conceived, A Study in Scarlet creates a data-centric detective intelligence in dialogue with late Victorian statistical innovations that remain central to machine learning and artificial intelligence (AI) today. Doyle’s generically split novella shows that the charismatic detective who dominates its first part is the merely partial virtuoso of a limited form. As such, A Study in Scarlet invites us to contemplate and clarify the humanistic stakes of machine “reading” during what some AI commentators conceive as a fourth industrial revolution.

High Performance Computing, Big Data, and Cloud Computing

2019 ◽  
pp. 165-182
Author(s):  
Jose-Luis González-Sánchez ◽  
Jesús Calle-Cancho ◽  
David Cortés-Polo ◽  
Luis-Ignacio Jiménez-Gil ◽  
Alfonso López-Rourich
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
High Performance Computing ◽  
High Performance ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Digital Revolution ◽  
Technological Revolution ◽  
Fourth Industrial Revolution ◽  
Performance Computing

If the fourth industrial revolution should be the revolution of values, where people, more than ever, are at the center of everything, it may be the technology that gives us the ability to place ourselves in that privileged position. However, there is consensus that the fourth industrial revolution is not defined by a set of emerging technologies in themselves, but by the transition to new systems that are built on the infrastructure of the digital revolution that we have already lived. The speed of the advances experienced in the last decade, along with the scope and impact of these in society, have allowed us to understand that we have reached a new technological revolution. The convergence, that is the real revolution, not only of digital technologies but also physical and biological will allow humanity to face the great challenges that have been marked for decades or centuries.

scholarly journals BIG DATA AS AN ECONOMIC PHENOMENON: THEORETICAL AND METHODOLOGICAL SUMMARY

2021 ◽  
pp. 132-139
Author(s):  
M. Stashevskaya
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Economic Activity ◽  
Large Scale ◽  
Digital Technologies ◽  
Digital Economy ◽  
Descriptive Model ◽  
Back Ground ◽  
Definition Of

The article contains a study of existing views on the economic content of big data. From among the views, within which the authors define big data, the descriptive-model, utility-digital and complex-technological approaches are formulated. Against the back- ground of the large-scale spread of digital technologies (machine learning, cloud computing, artificial intelligence, augmented and virtual reality, etc.), functioning thanks to big data, the study of their economic essence is becoming especially relevant. As a result, it was found that the basis of economic activity in the digital economy is big data. The definition of big data as a resource of the digital economy is proposed.

scholarly journals Future Service in Industry 5.0

2019 ◽  
Vol 2 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Umar Al Faruqi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Human Life ◽  
Rapid Development ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
Develop Technology ◽  
The Internet Of Things

With the rapid development of technology in the digitalization era, Industry 4.0 became a terminology that became a reference for research and development in the field of technology in various sectors. This continues to trigger all people to develop technology to enable better utilization in facilitating human life. Society 5.0 is an idea that explains the revolution in people's lives with the development of the fourth industrial revolution. The concept that wants to be presented is how there is a revolution in society that both utilizing technology and also considering humanities aspects. Some sectors of work and needs are beginning to enter digitalization that utilizes Artificial Intelligence, Big Data, Robotics, Automation, Machine Learning, and the Internet of Things.

scholarly journals Listening without ears: Artificial intelligence in audio mastering

2018 ◽  
Vol 5 (2) ◽  
pp. 205395171880855 ◽  
Author(s):  
Thomas Birtchnell
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Scientific Knowledge ◽  
Music Industry ◽  
Digital Technologies ◽  
The Past ◽  
Listening Environments ◽  
Pragmatic Strategies

Since the inception of recorded music there has been a need for standards and reliability across sound formats and listening environments. The role of the audio mastering engineer is prestigious and akin to a craft expert combining scientific knowledge, musical learning, manual precision and skill, and an awareness of cultural fashions and creative labour. With the advent of algorithms, big data and machine learning, loosely termed artificial intelligence in this creative sector, there is now the possibility of automating human audio mastering processes and radically disrupting mastering careers. The emergence of dedicated products and services in artificial intelligence-driven audio mastering poses profound questions for the future of the music industry, already having faced significant challenges due to the digitalization of music over the past decades. The research reports on qualitative and ethnographic inquiry with audio mastering engineers on the automation of their expertise and the potential for artificial intelligence to augment or replace aspects of their workflows. Investigating audio mastering engineers' awareness of artificial intelligence, the research probes the importance of criticality in their labour. The research identifies intuitive performance and critical listening as areas where human ingenuity and communication pose problems for simulation. Affective labour disrupts speculation of algorithmic domination by highlighting the pragmatic strategies available for humans to adapt and augment digital technologies.

Emerging Auditing Perspectives in the Age of the Fourth Industrial Revolution

2021 ◽  
pp. 999-1014
Author(s):  
Mahmut Sami Ozturk
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Methodological Approach ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
The Internet Of Things

The purpose of this chapter is to investigate the role of audit activities and auditors in Industry 4.0. The preferred methodological approach in the study is a general analysis of auditing in Industry 4.0 in the form of a literature review. According to the purpose of the study, the effect and role of auditing big data, the internet of things, the cloud, artificial intelligence, and other components in Industry 4.0 are investigated. Furthermore, auditing activities that can be implemented in Industry 4.0 are presented as suggestions in the study. The study explains the role of auditing as a whole in Industry 4.0 as a consequence of examining audit activities for each component in Industry 4.0.

Emerging Auditing Perspectives in the Age of the Fourth Industrial Revolution

2019 ◽  
pp. 172-187
Author(s):  
Mahmut Sami Ozturk
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Methodological Approach ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
The Internet Of Things

The purpose of this chapter is to investigate the role of audit activities and auditors in Industry 4.0. The preferred methodological approach in the study is a general analysis of auditing in Industry 4.0 in the form of a literature review. According to the purpose of the study, the effect and role of auditing big data, the internet of things, the cloud, artificial intelligence, and other components in Industry 4.0 are investigated. Furthermore, auditing activities that can be implemented in Industry 4.0 are presented as suggestions in the study. The study explains the role of auditing as a whole in Industry 4.0 as a consequence of examining audit activities for each component in Industry 4.0.

Sign in / Sign up

Export Citation Format

Share Document