Universal Human Services Data Systems Mergers Often Fail — Here's Why Targeted Interagency Data Sharing Works

- Reading time: 4 minutes

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When managing complex interagency collaborations, some pursue a vision of a universal data systems merger, a single platform that links law enforcement, justice, health, and human service data systems into one universal system. This model may appeal to those seeking to reduce or eliminate data entry and duplication, and to streamline communications. Yet, in practice, universal human services data systems integrations often fail to launch and fail to keep promises. Here’s why.

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AI-Powered Privacy-First Data Management

- Reading time: 3 minutes

   

One of the most persistent challenges facing data managers, data information officers, data stewards, and data risk or compliance officers is determining the right evidence-driven systems and strategies for collecting, managing, sharing and publishing sensitive subject information. And, doing so in a way that meets agency privacy and regulatory requirements is a chief priority. When tackling these issues, a privacy-first approach offers solutions with clear benefits for consumers and institutions.

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Comparing Public Sector AI Solutions on Security, Compliance and Privacy

- Reading time: 4 minutes

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Just a few months ago, a market leader in artificial intelligence for consumer use announced the release of a new AI chatbot solution for government. Unlike its consumer-facing counterpart, this product was developed with public sector compliance, data security, and regulations in mind. This reflects a growing demand for AI in government services, where agencies must balance innovation with strict standards for privacy, accountability, and security.

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