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10 core AI terms every BFSI professional should know

A guide to essential AI vocabulary: tokens (text units an AI counts), embeddings (numeric representations of meaning), fine-tuning (specializing a pre-trained model on specific data), inference (running a trained model to make predictions), and more.

WHY IT MATTERS

BFSI risk and compliance teams need shared AI literacy to evaluate vendor models and audit AI systems. Misunderstandings about tokens, inference cost, and model behavior can lead to poor procurement and deployment decisions.

Source: New York Post · 2026-10-09

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10 core AI terms every BFSI professional should know — ath — AITechHive