Rosemond's MSc Blog

Tag: artificial-intelligence

  • The use of generative AI in business.

    Businesses of all sizes—large, medium, and small—must innovate to ensure sustainable growth and remain competitive. To achieve these goals, they are implementing increasingly complex information systems and adopting technologies such as cloud and edge computing to meet ever-increasing performance needs. With the emergence of generative artificial intelligence technologies, businesses are redefining the notion of competitiveness. This blog post aims to examine the integration and use of generative AI within businesses. 

    A brief literature review on the concept of generative artificial intelligence to enhance understanding of the subject.

    President Biden’s Executive Order (EO) 14110, July 2024, on Safe, Secure, and Trustworthy Artificial Intelligence, mentioned in the publication of the ” Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile,” published by Laurie E. Locascio, Director of the National Institute of Standards and Technology (NIST) and Under Secretary of Commerce for Standards and Technology, defines generative AI as “the class of AI models that emulate the structure and characteristics of input data in order to generate synthetic content.” This can include images, videos, audio, text, and other digital content”.  

    Thanks to its characteristics and potential, its use is rapidly spreading in various industries. Cyril de Sousa Cardozo and Fanny Parise, talking about the integration of generative AI in businesses, write in a book entitled “Guide to Generative AI” published in October 2023: “We are at the dawn of a revolution that will radically transform the way we work, inform ourselves, and communicate.” They illustrate this point with a revealing anecdote: while it took Netflix 3,600 days to reach 100 million users, ChatGPT achieved this feat in just 60 days. 

    Opportunities

    Predictive analytics: Generative AI technology analyzes customer data to anticipate future needs. This proactive analysis capability helps deliver better-tailored products or services, strengthening customer relationships through an excellent, in-depth understanding of customer expectations. The study by Park et al. (2023), “Generative agent simulation of 1000 people” clearly demonstrates the potential of AI to simulate and predict human behavior with very high accuracy.

    For example, by analyzing various customer data, generative artificial intelligence can predict what products or services customers are likely to buy in the future, as well as the time of year they will be ready to make those purchases. It is also able to determine the likelihood of customer disengagement with the company.

    In addition, the use of generative artificial intelligence saves work teams time, improving business performance while reducing operating costs. This is because repetitive tasks are automated.

    Take Expedia’s “HI Jiffy” chatbot as an example, which allows you to manage interactions with customers from Expedia or other platforms from a unified inbox. This system is designed to optimize time management and reduce response times by simplifying message management. Moreover, it has the ability to interact with many customers simultaneously.

    challenges:

    Multiple challenges still need to be overcome to better leverage these new technologies in businesses, particularly ethical issues.

    Copyright issues: Generative AI generates new ideas, new services, and new products from previously created data. Issues related to data confidentiality and the quality of the data used to power AI.

    The utilization of generative artificial intelligence is poised to revolutionize the global business environment. It will enhance the competitiveness of companies, allowing them to deliver higher-quality services more efficiently. This transition should be managed with careful consideration and responsibility to safeguard our values, rights, norms, behaviors, and employment.

    REF

    .- Cyril de Sousa Cardozo & Fanny Parise, 2023 – Guide de l’IA générative : Transformez votre quotidien professionnel à l’ère de ChatGPT, Bing, Bard, Bloom, Claude -1ère Edition octobre 2023 – 240 pages – ISBN 978-2-8073-6170-6.

    .- Jean-Marc Lehu, 2003 – Stratégie de Fidélisation – 2eme Edition, aout 2003- 454 pages

    .- Gina M. Raimondo, Laurie E. Locascio, 2024 – Artificial Intelligence Risk Management Framework : Generative Artificial Intelligence Profile. NIST Trustworthy and Responsible AI NIST AI 600-1-        https://doi.org/10.6028/NIST.AI.600-1

    .-  Park J.,  Zou C,, ShawA , .. & Bernstein M., November 15, 2024: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)    https://doi.org/10.48550/arXiv.2411.10109

    .- Bick, A., Blandin, A., Deming, D.J., 2025; The Rapid Adoption of Generative AI, Federal Reserve Bank of St. Louis Working Paper 2024-027. : https://doi.org/10.20955/wp.2024.027

    .- Fabrice Martin, 2023 – L’IA générative : un outil pour améliorer l’expérience client et la fidélisation : https://www.afrc.org/2024/12/02/12-2023

  • What the Paper Says

    Can Cloud and Edge Computing Add Value to Small Medium Enterprises (SMEs)

    Authors: Achille Mikanoma Ndemvokolo, Dr Tooska Dargahi, and Prof Haifa Takruri

    The paper explains how cloud computing and edge computing technologies have been widely adopted by educational institutions to deliver courses, hospital institutions for remote consultations, and businesses for daily operations, following the lockdown and social distancing periods imposed by governments in response to the COVID-19 pandemic, during which teleworking had become the norm.

    The document describes the advantages and disadvantages of these technologies, such as the possibility of having an information system without heavy initial investment, with unlimited data storage capacity and services always available, with collaboration tools where software maintenance and updates are provided.

    It recommends that SMEs, after an assessment of risks and needs, adopt a hybrid solution to better take advantage of the advantages offered by both technologies.

    This blog post lacks clarity regarding the primary objective of the work. It merely describes the approach that will be taken to address the topic.

    The supply of cloud computing is no longer a concern due to its high availability and increasing competitiveness, bolstered by the entry of major players such as Google, Oracle, and IBM into the sector. Although significant research has been conducted on the benefits of cloud computing for small and medium-sized enterprises (SMEs), this subject remains crucial given the continuous evolution of these technologies. Consequently, the need for ongoing research on their impact on SMEs will persist for many years.

    The authors of the article highlight the significance of using these two technologies for SMEs. Since the introduction of cloud computing by companies like Amazon and Microsoft, numerous thought and research works have been published on this topic. For instance, the article titled “Cloud Computing Adoption in SMEs”, co-authored by Olakunle Jayeola, Anuar Shah Bali Mahomed, Azmawani Abd Rahman, Shafie Sidek, and published in the International Journal of Business and Society, is a systematic review of the literature on the current state of cloud computing adoption in SMEs. The authors examined more than 76 relevant articles addressing the same subject.

    The materials generated in this blog post are designed to be accessible to the public and are void of excessively technical terminology. They are systematically organized and relevant to the topic at hand. Additionally, they reflect recent advancements in cloud technology and address key aspects of the subject.

    No ethical considerations are to be reported in this article. All ethical principles have been respected.

    Based on the research question: “Can Cloud and Edge Computing add value to Small Medium Enterprises (SMEs)?”, this article examines the widespread adoption of cloud and edge computing technologies across various sectors. The study outlines their application by educational institutions, hospitals, and companies adopting remote working during COVID-19 lockdown periods, indicating the context in which the research was conducted.

    Reviewing the steps that led to the writing of this article, it is evident that the survey was the research method used by the authors to carry out this work.

    In the context of the Covid-19 pandemic, collecting data on employee behavior, preferences, and habits was important for maintaining business operations. Surveys are valuable qualitative and quantitative research methods for achieving this objective.

    The method lacked adequate description due to the absence of a clearly stated objective.

    The methodology was not sufficiently described due to the lack of a clearly stated objective.

    The article is both informative and incentivizing, written with a structured plan and a high degree of consistency. It is a work done with care, offering a neat and remarkable presentation. With more than 1100 words and a few long paragraphs, it can be improved to become more concise

    In conclusion, the authors of the article assert that cloud computing and edge computing technologies are not inherently superior but rather complement each other to enable businesses to drive innovation. They also emphasize that both technologies present enormous security challenges.

    To improve work quality, the authors should have referenced research data and presented statistics on the technological tools used during the pandemic, when remote work had become the norm in SMEs.

    References

    .- Dr. Amit Mishra – 2023, The Impact of Cloud Computing On Small and Medium Enterprises: Opportunities and Challenges, Iconic Research and Engineering Journals, ID 1704992 Page: 366-374

    .- Peter Mell & Timothy Grance – September 2011 – The NIST Definition of Cloud Computing: Recommendations of the National Institute of Standards and Technology: Special Publication 800-145- https://nvlpubs.nist.gov/nistpubs/legacy/sp/nistspecialpublication800-145.pdf

    .- Scott. R. Harris – 2022 – How to Critique Journal Articles in Social Sciences – second Edition – Waveland Press, Inc

    .- Guillaume Plouin – 2009 – Cloud Computing and Saas : Une rupture décisive pour l’information de l’entreprise. – Dunod – EAN: 9782100523764 (249 pages)