AI. Two Words, Infinite Potential - ChiefAIOfficer

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AI. Two Words, Infinite Potential

AI. Two Words, Infinite Potential

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Question 1 of 10

1. Question
1. According to the module, what is a misleading goal when thinking about the role of AI in business?
- Boosting efficiency
- Augmenting human capability
- Making machines more human-like
- Reducing human errors
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Question 2 of 10

2. Question
1. What is the ultimate reason for employing AI in business?
- Focused solely on profit maximization
- Limited to automating menial tasks
- Centered on enhancing only the customer experience
- Directed towards improved business functions and better customer experience
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Question 3 of 10

3. Question
1. What is the true “why” of AI in business, according to the training?
- Enhancing the creative capabilities of the workforce
- Driving operational efficiency and innovation
- Building competitive advantage through data-driven decisions
- Fostering a customer-centric approach to business
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Question 4 of 10

4. Question
1. What is Artificial Narrow Intelligence (ANI)?
- AI systems with limited functionality but high efficiency
- AI systems that mimic human intelligence within a specific domain
- AI systems with a narrow focus but the potential for deep learning
- AI systems designed to perform specific tasks with precision
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Question 5 of 10

5. Question
1. How does AI contribute to e-commerce?
- By providing personalized shopping experiences
- By enhancing the efficiency of supply chain management
- By automating customer service interactions
- By optimizing pricing strategies in real-time
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Question 6 of 10

6. Question
1. What is Artificial General Intelligence (AGI)?
- AI with the ability to understand, learn, and apply knowledge like a human
- AI that transcends domain-specific limitations
- AI with the potential to outperform humans in cognitive tasks
- AI that exhibits emotional intelligence and empathy
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Question 7 of 10

7. Question
1. What is Machine Learning?
- A subset of AI focused on data-driven decision-making
- A computational approach to learning from experience
- A method for machines to develop problem-solving abilities
- A technique for implementing AI in practical applications
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Question 8 of 10

8. Question
1. What type of Machine Learning involves models being trained on a labeled dataset?
- Supervised Learning
- Semi-Supervised Learning
- Self-Supervised Learning
- Transfer Learning
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Question 9 of 10

9. Question
1. What type of machine learning is deep learning?
- An extension of neural network-based learning algorithms
- A specialized form of unsupervised learning
- A subset of machine learning focused on pattern recognition
- A technique for implementing end-to-end learning systems
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Question 10 of 10

10. Question
1. What are Large Language Models (LLMs)?
- Large-scale implementations of deep learning for text generation
- Advanced AI systems capable of generating human-like text
- Machine learning models that excel in natural language processing
- Extensive computational models trained on diverse text data
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