Emergin Ermonogies
Chapter notes, video classes, MCQ practice tests and quick-revision one-liners for Information Technology and Digital Banking (Elective) — CAIIB.
One-liners from this chapter
Free sample — 8 of 66 rapid-fire Q&A cards.
What is Artificial Intelligence (AI) in the context of digital banking?
AI refers to the simulation of human intelligence in machines programmed to think and learn, enabling banks to automate decision-making, fraud detection, and customer service through algorithms.
What is Generative AI (GenAI) and how is it applied in banking?
AI that creates new content; used for reports, chatbots, and summaries.
How is Machine Learning (ML) different from traditional programming in banking applications?
Unlike traditional programming where rules are explicitly coded, ML algorithms learn patterns from historical data and improve their performance over time without being explicitly reprogrammed.
What is deep learning and how does it differ from standard machine learning?
Multi-layer neural networks that learn complex patterns automatically.
What is Natural Language Processing (NLP) and how do banks use it?
NLP is an AI branch that enables computers to understand and generate human language; banks use it in chatbots, sentiment analysis, and automated customer query resolution.
What is a Large Language Model (LLM) and what banking use case does it serve?
AI trained on vast text; used for customer support and document analysis.
What is a chatbot in digital banking and what regulatory considerations apply?
A chatbot is an AI-powered conversational interface used for customer service; RBI guidelines require banks to disclose when a customer is interacting with a bot and ensure data privacy compliance.
What is the metaverse and how might banks offer services within it?
Virtual digital world where banks can open virtual branches and offer services.
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