Technologies of the Fourth Industrial Revolution

Tankiso Moloi () and Tshilidzi Marwala ()
Additional contact information
Tankiso Moloi: University of Johannesburg, Johannesburg Business School
Tshilidzi Marwala: United Nations University

Chapter Chapter 3 in Enterprise Risk Management in the Fourth Industrial Revolution, 2023, pp 21-33 from Springer

Abstract: Abstract More than 250 emerging technologies have been identified by researchers in the fourth industrial revolution space. However, literature points out that the main fourth industrial revolution technologies revolve around 3D printing, Internet of things (IoT), Artificial intelligence (AI), Big data analytics tools, Cloud computing, Machine learning, Robotics and autonomous robots, Quantum computing, Biotechnology, Advanced materials such as graphene, Blockchain technologies, Augmented reality and Virtual reality, System integration, Cyber security, Simulation, and Digital twin. The greatest strengths that have been identified in the fourth industrial revolution are the ability of technologies to reinforce each other, and their integration/ interconnectedness. For the purposes of the treatise, technologies deemed to be crucial in the entreprise risk management process include supervised, unsupervised, semi-supervised, and reinforcement machine learning, natural language processing, robotic process automation, augmented reality/simulation, and big data analytics. Reinforcement and the ability to integrate are thought to have potential of improving the entreprise risk management process, making decision-making far much quicker, enhanced, and more informed for the stakeholders in the risk management process.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-99-6307-2_3

Ordering information: This item can be ordered from
http://www.springer.com/9789819963072

DOI: 10.1007/978-981-99-6307-2_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().