NPTEL AI in Marketing Week 2 Assignment Answers 2025
1. How does Artificial Intelligence (AI) enhance operational efficiency in the value chain?
- By eliminating customer segmentation
- By reducing dependency on traditional 4Ps of marketing
- By automating repetitive tasks and optimizing inventory flow
- By replacing strategic marketing with tactical marketing
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2. Nike’s implementation of augmented intelligence to design customized shoes is an example of which AI-driven value creation form?
- Process Efficiency
- Process Enhancement
- Product or Service Innovation
- Customer Value Optimization
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3. Which limitation of deep learning makes it unsuitable as a basis for developing general intelligence?
- Lack of computational power
- Limited ability to recognize patterns
- Insufficient understanding of causation
- Dependence on pre-labeled data
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4. What key capability is essential for creating a modern data foundation in AI-driven businesses?
- Exclusive reliance on big data
- Integration of siloed data with cloud-based tools
- Prioritization of real-time data over historical data
- Elimination of human involvement in data governance
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5. What is the primary purpose of “digital decoupling” in IT architecture?
- To integrate legacy systems with modern technologies gradually
- To replace all existing systems with cloud-based solutions instantly
- To automate customer interactions entirely using AI
- To eliminate the use of traditional data processing methods
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6. What stage of human-machine interaction focuses on machines adapting to humans?
- Machine-Centric
- Collaborative
- Human-Centric
- Automation-Centric
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7. Which of the following best describes the difference between stand-alone and integrated AI applications?
- Stand-alone applications require more data than integrated applications
- Integrated applications are embedded within existing systems, unlike stand-alone applications
- Stand-alone applications handle complex customer interactions, whereas integrated applications automate tasks
- Integrated applications are limited to customer-facing roles, unlike stand-alone applications
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8. A company is new to AI adoption and wants to start small. Which approach should it initially pursue?
- Build or buy a machine-learning-based integrated app
- Implement an AI-driven marketing mix analysis
- Use a stand-alone, non-customer-facing task automation app
- Develop advanced predictive analytics tools
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9. What kind of inferential thinking is AI most suited for, according to Judea Pearl’s Ladder of Causation?
- Counterfactuals
- Intervention
- Association
- Creative simulations
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10. A firm wants to leverage AI for competitive advantage across industries. What approach should the firm prioritize, as suggested by the document?
- Focus on deep specialization within traditional industry boundaries
- Create connections across industries and leverage data flows through networks
- Rely solely on traditional resources and internal expertise
- Build AI applications exclusively for internal data analysis
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