NPTEL AI in Marketing Week 1 Assignment Answers 2025
1. What was one of the primary objectives of Marketing 1.0 during the Industrial Revolution?
- To focus on customer emotions and values
- To create co-existence between humans and technology
- To emphasize the functional aspects of products to meet immediate customer needs
- To leverage Web 2.0 tools for customer engagement
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2. Which of the following best describes the role of Marketing 3.0 in addressing globalization and technology?
- Focusing on customer segmentation through traditional channels
- Enhancing customer relationships via unidirectional communication
- Changing consumer lives by blending creative society ideals with technological innovations
- Promoting functional benefits of products through mass advertising
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3. CarMax utilized AI to create a seamless omnichannel experience. Which of the following best illustrates this transformation?
- Developing a single customer interaction channel to minimize complexities
- Implementing contactless car delivery options during the pandemic
- Focusing exclusively on in-store sales to improve customer trust
- Introducing manual processes to ensure accuracy in customer interactions
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4. In the categorization of AI, why are systems like Alexa and Google’s AlphaGo classified as Weak AI?
- They are incapable of solving problems independently
- They are limited to specific tasks within predefined functions
- They lack the ability to interact with users in real-time
- They focus solely on gaming and entertainment applications
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5. How does representation learning differ from classical machine learning in customer segmentation?
- It uses fewer data features compared to classical machine learning
- It requires explicit human input for all features and patterns
- It automates feature extraction and maps abstract features without prior knowledge
- It focuses only on clustering based on predefined categories
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6. Which of the following applications best demonstrates the use of Deep Learning in marketing?
- Using predefined rules for customer segmentation
- Translating customer queries into actionable insights using neural networks
- Creating decision trees for advertising campaigns
- Automating inventory management with basic robotic systems
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7. What is the primary purpose of a Decision Tree in supervised learning?
- To create clusters of data points with similar attributes
- To predict outcomes by classifying data based on attribute selection measures
- To separate data using hyperplanes
- To calculate probabilistic relationships between variables
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8. Which feature distinguishes Random Forest from a single Decision Tree?
- It uses probabilistic methods to classify data points
- It combines multiple Decision Trees to improve accuracy and reduce overfitting
- It relies on clustering data points using centroids
- It separates data points using the maximum margin hyperplane
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9. Why is Thinking AI particularly suited for personalization in marketing?
- It uses pre-defined rules to analyze customer behavior
- It processes unstructured data to discover patterns for personalized recommendations
- It captures emotional responses to enhance customer interactions
- It automates routine decision-making tasks for efficiency
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10. A company wants to implement AI for customer retention through personalized relationships. Which type of AI would be most effective?
- Mechanical AI
- Thinking AI
- Feeling AI
- Supervised AI
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