Part 8/10:
These datasets enable personalized, timely, and transparent service delivery, reducing redundancy and leakage.
Challenges in AI Adoption
Despite promising progress, several hurdles remain:
Interoperability: Disparate databases often do not communicate seamlessly. Establishing standards and frameworks is ongoing.
Data Quality: Issues like inconsistent naming conventions (e.g., variations in citizen names across databases) complicate integration. The government is working to seed unique IDs and consistent data markers.
Digitization and Data Volume: While Karnataka has digitized valuable data over the years, gaps still exist in unstructured data and mandatory field completeness.