Case Study

Developing Innovative Government Services With Real-World Data

Mitigate potential risks associated with SaaS data integrity and security by seeding quality data into realistic test environments.

High-quality data is essential for the success of generative AI solutions in government agencies. Realistic data seeding conditions can eliminate rework, allowing for smoother implementation and enhanced operational efficiency. 

By leveraging Own, agencies can expedite the authority-to-operate process while ensuring the protection of sensitive information through anonymization, thereby meeting compliance requirements and strengthening data security. These best practices work together to improve the overall effectiveness of service delivery and rollouts in the public sector.

Read more from Eoghan Casey here

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