AI Glossary · Data & Platform
Quantization
Reducing model precision (e.g., 16-bit to 4-bit) to shrink memory and cost with minimal quality loss — key to on-prem and edge deployment.
Related terms in Data & Platform
- AUC (Area Under Curve)
- A single-number summary of a classifier's ability to separate classes across all thresholds; useful for imbalanced problems like fraud or churn.
- Bring Your Own Model (BYOM)
- A platform pattern that lets enterprises deploy fine-tuned or proprietary models inside a vendor's runtime instead of using only the vendor's default model.
- Data Fabric
- An architecture that unifies distributed data via metadata, semantic models and active governance — the layer AI depends on to reason across silos.
- Data Lakehouse
- A unified store combining lake economics with warehouse governance (Databricks, Snowflake, Iceberg). The default AI training and analytics substrate.
- Embedding
- A numeric vector representing meaning of text, image or audio, enabling semantic search, clustering and retrieval-augmented generation.
- Feature Store
- A managed catalog of reusable ML features with online and offline serving — key to consistent training and inference.