1. What is data preprocessing in AI?
2. What is the role of AI in the financial sector?
3. What is the difference between symbolic AI and connectionist AI?
4. What is a chatbot framework?
5. What is AI in supply chain management?
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1. What is data preprocessing in AI?
Answer: Data preprocessing involves cleaning, transforming, and organising raw data into a format suitable for training AI models, improving their accuracy.
2. What is the role of AI in the financial sector?
Answer: AI is used for fraud detection, algorithmic trading, customer service automation, credit scoring, and personalized financial advice.
3. What is the difference between symbolic AI and connectionist AI?
Answer: Symbolic AI focuses on logical reasoning and rule-based systems, while connectionist AI (like neural networks) simulates brain-like processing using interconnected nodes.
4. What is a chatbot framework?
Answer: A chatbot framework is a structured environment for developing and deploying chatbots, typically including pre-built tools, APIs, and integrations for natural language processing.
5. What is AI in supply chain management?
Answer: AI is used in supply chain management to optimize logistics, forecast demand, improve inventory management, and automate processes.