IBM Journey to AI blog

JULY 3, 2024

The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. A shared metadata layer, governance to catalog your data and data lineage enable trusted AI outputs.

Metadata 113

Metadata Data Quality AI AI 113

IBM Journey to AI blog

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Data Scientist 253

Data Scientist Metadata Responsible AI Explainability 253

IBM Journey to AI blog

OCTOBER 14, 2024

Unstructured enables companies to transform their unstructured data into a standardized format, regardless of file type, and enrich it with additional metadata. Over time, we expect mature data engineering teams to increasingly take on responsibility for supplying gen AI teams with enterprise-ready data.

Business Intelligence 219

Business Intelligence AI AI Automation 219