Data Governance & Management
Data management and governance encompass a range of practices aimed at organizing and managing information to ensure its accessibility, security, and usability. This includes operational activities such as data storage, backup strategies, platform transitions, and full-stack web application development, as well as strategic frameworks for organizing data to support trustworthy Artificial Intelligence.
Key Concepts
- Storage Solutions: Options for storing and retrieving your data efficiently.
- cloud-storage
- local-storage
- Backup Strategies: Methods to ensure that your information is protected against loss or corruption.
- Interoperability Standards: Frameworks for ensuring data consistency across different systems and AI models.
- Open Knowledge Format: A standardized approach for managing personal knowledge bases with Large Language Models (LLMs), evolving from unstructured “LLM Wikis” to interoperable systems. See Open Knowledge Format: Standardizing Karpathy LLM Wikis for Interoperability.