Artificial intelligence, deep learning, machine learning, robotics and digital transformation: applications, implications and future - Issue 3

Aug 3, 2026

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Artificial intelligence, deep learning, machine learning, robotics and digital transformation have revolutionized industries while generating new societal opportunities alongside technical, organizational and ethical challenges. This survey synthesizes applications, prospects, problems and future perspectives of these technologies in contemporary life, aiming to clarify practical use cases, evaluate impacts and potential opportunities, and identify implementation challenges. Literature and report review from Scopus, ACM Digital Library and Google Scholar supports analysis of efficiency gains, decision-making improvements, sustainability progress, and changing employment patterns and workforce dynamics.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages21

Reading Time53 min

AccessFree to download

Introduction

Artificial intelligence and related technologies

Gig economy and digital strategies

Abstract

Objectives and research methodology

Applications and implications

Keywords

Submitted and publication information

Ukrainian Journal of Educational Studies and Information Technology Vol. 12, Issue 3 , 2024 ISSN: 2521-1234 online Ukr. J. of Educ. Stud. and Inf. Technol. 12(3), 1 – 21 doi: 10.32919/uesit.2024.03.01 Artificial intelligence, deep learning, machine learning, robotics and digital transformation: applications, implications and future Ogagaoghene Uzezi Idhalama 1, Elisha Ondieki Makori2 1Ambrose Alli University, Ekpoma, Edo, Nigeria 2 University of Nairobi, Nairobi, Kenya Abstract Artificial intelligence, deep learning, machine learning, robotics and digital transformation have revolutionized industries, while creating new opportunities together with challenges and implications in the society. This comprehensive survey explores the applications, prospects, problems, and future perspectives of artificial intelligence, deep learning, machine learning, robotics, and digital transformation in the contemporary society. The objectives of this research included to explore practical applications of these emerging technologies and industrial trends, examine the impact and potential opportunities of the technologies and innovations, assess the challenges and problems associated with implementation of such disruption technologies and transformations, and determine future trends and advancements through which the technologies can be utilized to achieve sustainable prospects. The research methodology involved collecting and analyzing relevant scholarly articles and reports from electronic journals, electronic books as well as Internet and web based information. First, this comprehensive search was conducted in academic databases such as Scopus, ACM Digital Library, and Google Scholar. Secondly, critical review was done based on vital information regarding applications of these technologies, problems faced in implementation, future prospects and advancements in the field. With the digital transformation, this research has significant implications since artificial intelligence, deep learning, machine learning and robotics are applied in various industries and economies. Applications of these technologies in healthcare, manufacturing and transportation, climate adaptation and agriculture, business and trade, information science and computing as well information communication technology have led to improved efficiency, accuracy, and decision-making. By leveraging the capabilities of these technologies, significant progress has been made towards achieving sustainability and combating climate change challenges. Additionally, artificial intelligence, deep learning, machine learning, robotics, and digital transformation have profound implications for employment patterns, job skills, and workforce dynamics. Developments and connections in these emerging and disruption technologies present tremendous opportunities for humanities, organizations, industries and broad societies. Keywords: artificial intelligence; deep learning; machine learning; robotics; digital transformation; disruption technologies; emerging technologies; digital economy; gig economy; platform economy. Submitted: 2024 – 08 – 03 Accepted: 2024 – 09 – 20 Published online: 2024 – 09 – 30 © Idhalama, O. U. © Makori, E. O. This work is licensed under a"CC BY 4.0" license. 1 INTRODUCTION Technological advancements have invented the gig economy, where innovations are widely applied to achieve and sustain growth in industries and organizations. Harnessing the power of artificial intelligence, deep learning, machine learning, robotics, and digital transformation has transformed and changed human life. Meanwhile, governments and organizations in developed and developing economies have adopted and implemented digital strategies and initiatives to advance artificial intelligence (AI), deep learning (DL), machine learning (ML), robotics (ROBO), and digital transformation (DT) . These emerging technologies are widely applied in diverse fields and profession

FAQs

What is the main purpose of the study on AI, deep learning, machine learning, robotics and digital transformation?

To explore practical applications and industrial trends, assess impacts and opportunities, evaluate challenges in implementation, and identify future trends and advancements for sustainable development.

How does the research methodology support the survey’s conclusions?

It collects and analyzes scholarly articles and reports from electronic journals, books and web sources, including database searches in Scopus, ACM Digital Library and Google Scholar, followed by critical review.

Which areas benefit from these technologies according to the document?

Healthcare, manufacturing and transportation, climate adaptation and agriculture, business and trade, information science and computing, and information and communication technology, with improvements in efficiency, accuracy and decision-making.

What broader implications are discussed beyond technology performance?

Implications for employment patterns, job skills and workforce dynamics, alongside opportunities for humanities, organizations, industries and broader societies.

Aug 3, 2026

Upload by Oliver