Improving Decision Velocity With AI-Native Platforms
Critical decisions require analyzing massive volumes of data and strict compliance requirements. Agencies need help to speed up the process.
Critical decisions require analyzing massive volumes of data and strict compliance requirements. Agencies need help to speed up the process.
Agencies are using data to improve outcomes. Learn how St. Petersburg, Florida’s police department used data mapping to help fight crime.
In this video interview, Mike Gilger with Modus Operandi discusses how agencies can improve their AI outcomes with more reliable, contextual data.
Malicious actors are targeting software supply chains, insider access and legacy dependencies to compromise the security of large-scale agency systems. Prevention efforts are not enough, however. To protect national security and preserve trust, agencies need resilience and a recovery-by-design approach.
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
The evolution of AI coding tools has raised the prospect of “disposable software” that would reduce the need for expensive, long-term maintenance. But although appealing, this paradigm shift would be challenging for government to implement. A SpecOps approach, though, may solve the problem.
AI systems have become a source of truth for many constituents, but public-sector communication often is poorly designed for AI use and citation. Agencies may need to think about both human and AI audiences.
Compliance rules, although important, can lead to operational and technical headaches, costly investments, and data sharing hurdles. But no matter what state- or industry-specific rules apply, certain best practices can help government teams navigate data compliance mandates.
It’s tough to ensure your data’s accuracy and reliability when you’ve lost track of its origin. Tactics such as metadata management, data stewardship, and traceability audits will help. Learn what they involve.
There can be serious, costly consequences when agency staff expose sensitive data, even if human error is the cause. Here are tactics to prevent and identify data leaks.