For every exciting AI or AGI use case, there are 10 boring things to be done for exciting work to begin. We simplify the process and abstract technology from business.
Management buy-in
Infrastructure
It should be scalable, geo-aware, cost-effective, resilient, observable
Collection
Support data stream, batch data both push and pull architecture, event-based or schedule-based triggers, auditable, observable
Enrichment
Combine input data with known dimensions, augment with third-party or AGI data
Storage
Optimally encoded, tiered, life cycle managed, geo-aware, and observable
Transformation
Normalized to a consistent format, pre-aggregation, filtered, decoded, or encoded on need
Provision
Data feeds, queriable through interfaces, data-API, and table API for transactions, observable
Data Quality
Quantitative measures, Qualitative measures
Security
Zero trust, ACL
Governance
A wide variety of technology choices are available to implement each of these steps in both open-source and proprietary spheres.