Put Data in Context, not Containers: How to Make AI Outcomes More Effective
In this video interview, Mike Gilger with Modus Operandi discusses how agencies can improve their AI outcomes with more reliable, contextual data.
In this video interview, Mike Gilger with Modus Operandi discusses how agencies can improve their AI outcomes with more reliable, contextual data.
In this video interview, Jonathan Hasak and Aaron Hunter with Coursera discuss how to overcome barriers to fostering an AI-knowledgeable workforce.
Agencies communicate effectively when they use plain language — simple, clear writing rather than fancy words and over-long sentences. Here are tips on writing so your target audience understands.
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.
When their data sources and fragmented IT systems don’t “talk” to each other, agencies lose opportunities for meaningful insights and create new security risks.
Looking for guidance on what AI can do and how to implement it? Check out this roundup of quick, insightful blog posts.
In this video interview, experts from Actionfigure discuss the General Transit Feed Specification (GTFS), how it underpins real-time rider information, and where agencies can find help managing it.