Everything on Data Management

Data quality directly correlates with AI ROI and implementation success. Generic models handle administrative tasks, but proprietary, structured datasets are required for high-value automation.

Impact: Investing in structured internal datasets and knowledge bases enables custom model training, reducing errors and increasing automation reliability.

— from AI Implementation Strategies for Traditional Trades · KI-Update – ein heise-Podcast· Jul 10, 2026

Pluggable Object Databases are being developed to replace Git LFS, enabling native tiered storage and lazy-loading for large binary assets.

Impact: Reduces network bandwidth consumption and local storage overhead for teams working with game assets, multimedia, and large scientific datasets.

— from Git 3.0 Roadmap: RevTables, SHA-256 Migration, and Native Binary Support · Engineering Kiosk· Mar 31, 2026