JAIIB · RBWM · Chapter 13

Role of Ai and Technology in Retail Banking

Chapter notes, video classes, MCQ practice tests and quick-revision one-liners for Retail Banking and Wealth Management — JAIIB.

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One-liners from this chapter

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Q

Narrow AI (ANI) — Also Called / Description / Status (June 2026)?

A

Also Called: Weak AI; Description: Trained for one specific task (face-unlock, spam-filter, chatbot, credit-score model). Cannot transfer learning across domains.; Status (June 2026): All AI deployed in Indian banks today is ANI.

Q

General AI (AGI) — Also Called / Description / Status (June 2026)?

A

Also Called: Strong AI; Description: Hypothetical machine with human-level cognitive flexibility — can learn ANY task a human can.; Status (June 2026): Not yet achieved; OpenAI / Google / Anthropic claim "frontier" progress, but no AGI exists.

Q

Super AI (ASI) — Also Called / Description / Status (June 2026)?

A

Also Called: Artificial Super Intelligence; Description: Machine intelligence surpassing human intelligence across every domain — speed, creativity, social skill.; Status (June 2026): Theoretical / speculative — subject of ethics debates.

Q

Meaning — Artificial Intelligence (AI) / Automation?

A

Artificial Intelligence (AI): Machines mimicking human intelligence; Automation: Technology performing tasks with minimal human intervention

Q

Functionality — Artificial Intelligence (AI) / Automation?

A

Artificial Intelligence (AI): Learns from experience, adapts to new data, makes decisions; Automation: Executes pre-programmed rules without learning

Q

Intelligence — Artificial Intelligence (AI) / Automation?

A

Artificial Intelligence (AI): Understands, reasons, learns, solves complex problems; Automation: No intelligence — follows fixed instructions

Q

Flexibility — Artificial Intelligence (AI) / Automation?

A

Artificial Intelligence (AI): Flexible — re-trains on new data; Automation: Rigid — designed for one task

Q

Decision-Making — Artificial Intelligence (AI) / Automation?

A

Artificial Intelligence (AI): Data-driven decisions; Automation: Pre-coded rules only

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