NPTEL AI in Marketing Week 1 And 2 Assignment Answers 2025
1. What was one of the primary objectives of Marketing 1.0 during the Industrial Revolution?
Options:
- A. To focus on customer emotions and values
- B. To create co-existence between humans and technology
- C. To emphasize the functional aspects of products to meet immediate customer needs
- D. To leverage Web 2.0 tools for customer engagement
✅ Answer: C.
Explanation: Marketing 1.0 focused on product-centric strategies during the Industrial Revolution, emphasizing functionality and mass production to meet basic needs.
2. Which of the following best describes the role of Marketing 3.0 in addressing globalization and technology?
Options:
- A. Focusing on customer segmentation through traditional channels
- B. Enhancing customer relationships via unidirectional communication
- C. Changing consumer lives by blending creative society ideals with technological innovations
- D. Promoting functional benefits of products through mass advertising
✅ Answer: C.
Explanation: Marketing 3.0 addresses globalization and technological advances by focusing on values, purpose, and human spirit, aiming to improve the world and customer lives.
3. CarMax utilized AI to create a seamless omnichannel experience. Which of the following best illustrates this transformation?
Options:
- A. Developing a single customer interaction channel to minimize complexities
- B. Implementing contactless car delivery options during the pandemic
- C. Focusing exclusively on in-store sales to improve customer trust
- D. Introducing manual processes to ensure accuracy in customer interactions
✅ Answer: B.
Explanation: CarMax leveraged AI for automation and personalization, especially during COVID-19, by introducing contactless delivery, showcasing AI’s omnichannel capabilities.
4. In the categorization of AI, why are systems like Alexa and Google’s AlphaGo classified as Weak AI?
Options:
- A. They are incapable of solving problems independently
- B. They are limited to specific tasks within predefined functions
- C. They lack the ability to interact with users in real-time
- D. They focus solely on gaming and entertainment applications
✅ Answer: B.
Explanation: Weak AI is task-specific and cannot perform beyond its programming. Alexa and AlphaGo are narrowly focused systems, unlike general AI.
5. How does representation learning differ from classical machine learning in customer segmentation?
Options:
- A. It uses fewer data features compared to classical machine learning
- B. It requires explicit human input for all features and patterns
- C. It automates feature extraction and maps abstract features without prior knowledge
- D. It focuses only on clustering based on predefined categories
✅ Answer: C.
Explanation: Representation learning, especially in deep learning, can automatically discover patterns and extract features, reducing the need for manual input.
6. Which of the following applications best demonstrates the use of Deep Learning in marketing?
Options:
- A. Using predefined rules for customer segmentation
- B. Translating customer queries into actionable insights using neural networks
- C. Creating decision trees for advertising campaigns
- D. Automating inventory management with basic robotic systems
✅ Answer: B.
Explanation: Deep learning uses neural networks to interpret complex and unstructured data, enabling smarter customer interaction and insight generation.
7. What is the primary purpose of a Decision Tree in supervised learning?
Options:
- A. To create clusters of data points with similar attributes
- B. To predict outcomes by classifying data based on attribute selection measures
- C. To separate data using hyperplanes
- D. To calculate probabilistic relationships between variables
✅ Answer: B.
Explanation: A Decision Tree classifies data by making a series of decisions based on feature values, ideal for prediction tasks.
8. Which feature distinguishes Random Forest from a single Decision Tree?
Options:
- A. It uses probabilistic methods to classify data points
- B. It combines multiple Decision Trees to improve accuracy and reduce overfitting
- C. It relies on clustering data points using centroids
- D. It separates data points using the maximum margin hyperplane
✅ Answer: B.
Explanation: Random Forest is an ensemble of decision trees that aggregates results, improving prediction accuracy and robustness.
9. Why is Thinking AI particularly suited for personalization in marketing?
Options:
- A. It uses pre-defined rules to analyze customer behavior
- B. It processes unstructured data to discover patterns for personalized recommendations
- C. It captures emotional responses to enhance customer interactions
- D. It automates routine decision-making tasks for efficiency
✅ Answer: B.
Explanation: Thinking AI applies machine learning and deep learning to understand customer behavior from data, enabling real-time personalization.
10. A company wants to implement AI for customer retention through personalized relationships. Which type of AI would be most effective?
Options:
- A. Mechanical AI
- B. Thinking AI
- C. Feeling AI
- D. Supervised AI
✅ Answer: C.
Explanation: Feeling AI involves empathy and emotional intelligence, crucial for building customer trust and long-term relationships through personalized engagement.
NPTEL AI in Marketing Week 2 Assignment Answers
1. How does Artificial Intelligence (AI) enhance operational efficiency in the value chain?
Options:
- A. By eliminating customer segmentation
- B. By reducing dependency on traditional 4Ps of marketing
- C. By automating repetitive tasks and optimizing inventory flow
- D. By replacing strategic marketing with tactical marketing
✅ Answer: C
Explanation: AI improves operational efficiency by automating routine tasks (e.g., invoice processing, supply chain tracking) and optimizing inventory through predictive analytics, reducing cost and time.
2. Nike’s implementation of augmented intelligence to design customized shoes is an example of which AI-driven value creation form?
Options:
- A. Process Efficiency
- B. Process Enhancement
- C. Product or Service Innovation
- D. Customer Value Optimization
✅ Answer: C
Explanation: When AI is used to create new product designs or personalized services (as Nike did), it falls under Product or Service Innovation.
3. Which limitation of deep learning makes it unsuitable as a basis for developing general intelligence?
Options:
- A. Lack of computational power
- B. Limited ability to recognize patterns
- C. Insufficient understanding of causation
- D. Dependence on pre-labeled data
✅ Answer: C
Explanation: Deep learning is excellent at recognizing correlations, but it lacks the ability to understand causal relationships, which is essential for general intelligence (AGI).
4. What key capability is essential for creating a modern data foundation in AI-driven businesses?
Options:
- A. Exclusive reliance on big data
- B. Integration of siloed data with cloud-based tools
- C. Prioritization of real-time data over historical data
- D. Elimination of human involvement in data governance
✅ Answer: B
Explanation: Modern AI systems require breaking down data silos and using cloud-based tools to integrate and manage data holistically across departments.
5. What is the primary purpose of “digital decoupling” in IT architecture?
Options:
- A. To integrate legacy systems with modern technologies gradually
- B. To replace all existing systems with cloud-based solutions instantly
- C. To automate customer interactions entirely using AI
- D. To eliminate the use of traditional data processing methods
✅ Answer: A
Explanation: Digital decoupling allows businesses to separate digital innovations from legacy systems, enabling gradual modernization without full replacement.
6. What stage of human-machine interaction focuses on machines adapting to humans?
Options:
- A. Machine-Centric
- B. Collaborative
- C. Human-Centric
- D. Automation-Centric
✅ Answer: C
Explanation: In the human-centric phase, AI systems are designed to understand and respond to human needs, learning from human behavior to improve interactions.
7. Which of the following best describes the difference between stand-alone and integrated AI applications?
Options:
- A. Stand-alone applications require more data than integrated applications
- B. Integrated applications are embedded within existing systems, unlike stand-alone applications
- C. Stand-alone applications handle complex customer interactions, whereas integrated applications automate tasks
- D. Integrated applications are limited to customer-facing roles, unlike stand-alone applications
✅ Answer: B
Explanation: Integrated AI applications are embedded into existing workflows, enhancing current operations, while stand-alone apps function independently.
8. A company is new to AI adoption and wants to start small. Which approach should it initially pursue?
Options:
- A. Build or buy a machine-learning-based integrated app
- B. Implement an AI-driven marketing mix analysis
- C. Use a stand-alone, non-customer-facing task automation app
- D. Develop advanced predictive analytics tools
✅ Answer: C
Explanation: For beginners, the best approach is to use simple, low-risk AI tools like non-customer-facing automation apps (e.g., invoice processing, scheduling).
9. What kind of inferential thinking is AI most suited for, according to Judea Pearl’s Ladder of Causation?
Options:
- A. Counterfactuals
- B. Intervention
- C. Association
- D. Creative simulations
✅ Answer: C
Explanation: Most AI systems today operate at the association level — they recognize patterns in data without understanding or reasoning about causes.
10. A firm wants to leverage AI for competitive advantage across industries. What approach should the firm prioritize, as suggested by the document?
Options:
- A. Focus on deep specialization within traditional industry boundaries
- B. Create connections across industries and leverage data flows through networks
- C. Rely solely on traditional resources and internal expertise
- D. Build AI applications exclusively for internal data analysis
✅ Answer: B
Explanation: Cross-industry integration and leveraging data network effects can unlock new value and create scalable competitive advantages.