AI in Marketing Week 2 NPTEL Assignment Answers 2025

NPTEL AI in Marketing Week 2 Assignment Answers 2024

1. Which of the following company implemented augmented intelligence to design customized shoes for its customers, and the end-to-end process only takes two weeks from design to customer delivery?

• A. Campus
• B. Nike
• C. Fila
• D. Bata

Answer: B. Nike
Explanation: Nike uses augmented intelligence to let customers design their own shoes using AI, completing the entire process from design to delivery in just two weeks, enhancing customization and customer satisfaction.

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2. Which of the following forms of AI-driven value creation suits this description – “AI automation often improves repetitive processes that are not enjoyable or challenging for humans. For example, Abundant Robotics has designed AI-powered automated machines to harvest apples, reducing the amount of labor needed.”?

• A. Process Enhancement
• B. Product or Service Innovation
• C. Process Efficiency
• D. None of the above

Answer: C. Process Efficiency
Explanation: This refers to using AI to perform repetitive tasks faster and more accurately than humans, increasing productivity and reducing human labor – hence it is an example of “Process Efficiency.”

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3. Complex AI systems, especially those that employ deep learning, are opaque. It’s impossible to explain how these algorithms reach their conclusions. This shortcoming is known as –

• A. AI Transparency
• B. AI Secrecy
• C. Black Box Problem
• D. Glass Box Problem

Answer: C. Black Box Problem
Explanation: The “Black Box Problem” refers to AI models whose internal workings are not interpretable by humans, especially deep learning systems that make decisions without transparent reasoning.

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4. Which of the following is not related to a Modern Data Foundation?

• A. Modern data engineering
• B. Siloed Data
• C. AI-assisted data governance
• D. Data democratization

Answer: B. Siloed Data
Explanation: Siloed data refers to data that is isolated and not shared across systems, which is a barrier to modern data foundations. The others are key elements of a modern, integrated data infrastructure.

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5. Which dimension of the IDEAS framework is being seen as “living systems” with the characteristics of being ‘Boundary-less’, ‘Adaptable’, and ‘Radically Human’?

• A. Strategy
• B. Data
• C. Intelligence
• D. Architecture

Answer: D. Architecture
Explanation: In the IDEAS framework, architecture is seen as a dynamic and evolving system. Modern AI architectures are designed to be adaptable and human-centric.

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6. Technology evolved from machine-centric to collaborative to being human-centric. For the Intelligence dimension in the IDEAS framework, which one is the human-centric tool?

• A. Industrial Robot
• B. Deep Learning
• C. Emotional AI
• D. Business Intelligence

Answer: C. Emotional AI
Explanation: Emotional AI interacts with human emotions, understands sentiment, and makes systems more empathetic. It is the most human-centric among the listed technologies.

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7. _____________ is an organizational strategy planned and executed to take advantage of AI-based tools and resources to create competitive advantage.

• A. Digital Business Strategy
• B. Corporate Strategy
• C. Cognitive (AI) Strategy
• D. AI Adoption Strategy

Answer: D. AI Adoption Strategy
Explanation: AI Adoption Strategy focuses on leveraging AI tools and frameworks to enhance business performance and competitiveness through AI capabilities.

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8. At which level of strategic planning does each business unit develop a plan to carry that business unit into a profitable future?

• A. Corporate Planning
• B. Division Planning
• C. Business Planning
• D. Product Planning

Answer: C. Business Planning
Explanation: Business planning occurs at the level where individual units or departments develop strategies to meet their unique goals and ensure profitability.

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9. Once AI development matures in an initial domain, organizations expand it to others. What is this stage of AI Adoption known as?

• A. Setting the Strategy
• B. Monitoring
• C. Adapting for Organizational & Technological Change
• D. Scaling the AI

Answer: D. Scaling the AI
Explanation: After initial success, businesses scale AI to other domains or business units. This helps maximize AI’s impact by using common data and skills across the organization.

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10. _______________ inference involves imagining what might have happened had a certain variable in a business activity been different.

• A. Association
• B. Intervention
• C. Counterfactuals
• D. None of the above

Answer: C. Counterfactuals
Explanation: Counterfactual reasoning helps evaluate alternative outcomes by changing one variable at a time. It’s crucial for understanding causation in AI decision-making.