We design a robust data ecosystem to support AI initiatives:
- Data Architecture: Centralized and distributed models for data management.
- Concept Diagrams: Data flow and relationship visualization.
- DB Designs: Scalable database solutions for AI workloads.
- DB Schema: Structuring data for seamless AI processing.
- Other Data: Integration of third-party or external data for enriched insights.
- Data Governance: Establish ownership, stewardship, and data access policies.
- Real-Time Data: Incorporate live data streams for up-to-date insights.
- Data Monetization: Explore ways to generate revenue from proprietary data.
- Ethical Data Use: Implement clear policies to avoid data misuse or bias.