ISO-IEC-27001-LEAD-IMPLEMENTER practice question 13 of 35
Scenario 6: Skyver manufactures electronic products, such as gaming consoles, flat-screen TVs, computers, and printers. In order to ensure…
Full set: 290 questionsDomain Implementing an ISMS based on ISO/IEC 27001
The scenario describes Skyver's goal to "understand customer preferences and provide personalized recommendations." This task involves analyzing large datasets of customer behavior to identify patterns and make predictions, which is the core function of machine learning (ML). ML is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed. Recommendation engines are a classic application of machine learning techniques, making it the most specific and appropriate technology for Skyver's initiative.
A. Weak AI: While the resulting system is a form of Weak (or Narrow) AI, "Machine learning" is the more precise term for the specific technology and process being implemented to achieve this.
C. Strong AI: Strong AI, or Artificial General Intelligence (AGI), refers to a hypothetical machine with human-level consciousness and general problem-solving abilities, which is far beyond the scope of a product recommendation system.
1. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25. The article categorizes AI and explains that systems performing specific cognitive tasks, such as providing recommendations based on past consumption, fall under analytical AI (Weak AI) and are typically powered by machine learning techniques. (See page 17, Table 1). DOI: https://doi.org/10.1016/j.bushor.2018.08.004
2. PECB. (2023). PECB Certified Artificial Intelligence Lead Manager - Training Course. PECB. The official course brochure lists "Domain 2: Machine learning concepts and methods" as a core component of its AI curriculum, establishing machine learning as a distinct and fundamental discipline within AI for practical applications like those described in the scenario. (Available on the official PECB website).
3. Stanford University. (2023). CS229: Machine Learning Course Syllabus. Stanford, CA: Stanford University. The course syllabus lists "Recommender systems" as a key application of machine learning, demonstrating the direct link between the technology (ML) and the business goal (personalized recommendations) described in the scenario. (See "Topics" section of the official CS229 course website).
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