Contextual Data, Data Transformation and Risk

The importance of data ingestion and integration for enterprise AI

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

Enterprise

Enterprise Data Integration Data Quality Contextual Data

How to Build a Successful Metadata Management Framework

Alation

JUNE 28, 2022

Scale effectively: Leverage taxonomies to ensure consistent modeling outcomes when introducing new data sets or changing business demands. Track data lineage: Document data origins, record data transformation and movement, and visualize flow throughout the entire data lifecycle.

Metadata

Metadata Management Data Governance Machine Learning

Data Leaders Brief

The importance of data ingestion and integration for enterprise AI

How to Build a Successful Metadata Management Framework

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