MBA504 Introduction to Data Analytics for Business Report 3 Sample
Your Task
Group Component: Analyse a report on digital transformation as it relates to Industry 5.0. Discuss the findings and present insights to the class.
Individual Component: Individually analyse a theme associated with digital transformation within Industry 5.0
Assessment Description
Read the article “State of Industry 5.0—Analysis and Identification of Current Research Trends” provided for this assessment.
Assessment Instructions
This assessment comprises of two components: a group presentation and an individual essay.
Group (In class): You will be allocated to a group on the day of your class. You will summarise the Akundi et alia article as well as provide a critique of the digital transformation strategy that is defining Industry 5.0 with arguments supporting your view. You will present your summary and critique during the third hour of the workshop. You can use the whiteboard, cards and notes to help you present.
Individually: Choose one of the 5 themes in this article and write a 500-word report explaining the role of analytics practices associated with this theme.
The 5 themes from the article are:
Theme 1— Industry 5.0 in context of supply chain evaluation and optimization in manufacturing processes
Theme 2— Industry 5.0 in context of enterprise management, innovation, and digitization
Theme 3— Industry 5.0 in context of smart and sustainable manufacturing
Theme 4— Industry 5.0 transformation driven by IoT, Big Data, and AI
Theme 5— Human machine connectivity and co-existence
The report needs to be uploaded to Turnitin. Please refer to the marking rubric on page 4 as a guide.
Solution
Introduction
The interaction between people and machines has undergone a significant alteration as a result of technology. According to Li et al. 2022, as technology smoothly integrates into numerous facets of our lives, the idea of human-machine interaction and coexistence has gained popularity. University Assignment Help, This study emphasizes the advantages and disadvantages of this connectedness, the current status of human-machine contact, and the ethical issues required to assure peaceful cohabitation.
Overview on Human Machine Connectivity and Co-existence
1. Current State of Human-Machine Interaction
The analysis of relationships and actions between computers and humans is known as human-computer communication. Each sector has experienced an information technology explosion thanks to the evolution of interaction between people and computers (Krupitzer et al. 2020). These interactions were quite beneficial for organizations. The variety of professions has expanded because of this modern technology. Professionals located all over the globe can simply and actively interact with one another in cyberspace.
2. Benefits of Human-Machine Connectivity
? Multiple tasks being accomplished by the application lessens the requirement for equipment setup, and that consequence minimizes the dimensions of the device.
? The HMI provides identical functions using programming applications doing away with the necessity for intricate and costly connections (Kang, 2020).
? Although display data configurations may be modified utilizing technology regardless of the event of requirement shift, HMIs allow interfaces to be standardized.
? The HMI also offers additional duties including graphical and text appearance along with adjusting and lighting display.
3. Challenges of Human-Machine Connectivity
? High construction and upkeep costs because specialized hardware and software are sometimes needed.
? Depending on the worker's level of expertise, as the user interface may prove challenging to operate and calls for education.
? Restricted expansion, as the design could not be capable to support system overhauls or future modifications.
? Determined system reliability due to an interface's potential communication limitations with other systems or gadgets (Bahri and Lestari, 2021).
? Low dependability due to the possibility of connection failure or failure, which could lead to a delay or other problems.
4. Ethical Considerations
Ethical considerations are more crucial as human-machine connectivity develops. To make sure that technology serves humanity's greatest interests, transparency and accountability are essential. Ethics frameworks must address issues including algorithmic prejudice, data privacy, and the effect of automation on the labor market. To safeguard individual rights, promote trust, and preserve a balance between people and machines, responsible technology development and use is crucial.
5. Future Developments
Advanced interfaces between humans will make even intricate structures simpler to utilize. Technology will gradually adjust to human customs and demands to make that possible. They are going to be able to be controlled from afar through augmented or virtual reality and a mixture of both. According to Ghorbel, Amor and Jallouli (2019), The human-machine interfaces (HMIs) of the foreseeable future will be based on significant advances like brain-computer interactions, which increase technology availability and collaboration possibilities, especially for intangible clients.
Conclusion
Human-machine connectivity has revolutionized how we live and work and has become a fundamental component of contemporary life. Even though it has many advantages, problems like employment loss and ethical issues need to be resolved. A prosperous and sustainable future depends on finding a balance between technological advancement and human welfare.
Reference
Bahri, S. and Lestari, E.T., 2021. Implementation of human-machine friendship learning in the new-normal era. Journal of Education and Learning (EduLearn), 15(2), pp.291-296. Bahri, S. and Lestari, E.T., 2021 Retrieved on 09.06.2023. http://edulearn.intelektual.org/index.php/EduLearn/article/view/18404
Ghorbel, A., Amor, N.B. and Jallouli, M., 2019. A survey on different human-machine interactions used for controlling an electric wheelchair. Procedia Computer Science, 159, pp.398-407. Retrieved on 09.06.2023. https://www.sciencedirect.com/science/article/pii/S1877050919313766
Kang, T., 2020. Bim-based human machine interface (Hmi) framework for energy management. Sustainability, 12(21), p.8861. Retrieved on 09.06.2023. https://www.mdpi.com/2071-1050/12/21/8861
Krupitzer, C., Müller, S., Lesch, V., Züfle, M., Edinger, J., Lemken, A., Schäfer, D., Kounev, S. and Becker, C., 2020. A survey on human machine interaction in industry 4.0. arXiv preprint arXiv:2002.01025. Retrieved on 09.06.2023. https://arxiv.org/abs/2002.01025
Li, X., Wei, X., Chen, S. and Sun, L., 2022. Multi-Agent Deep Reinforcement Learning Based Resource Management in SWIPT Enabled Cellular Networks with H2H/M2M Co-Existence. arXiv preprint arXiv:2212.14234. Retrieved on 09.06.2023. https://arxiv.org/abs/2212.14234
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