Modernization For — and With — AI
You can’t have an AI strategy without a data strategy, says Matthew Rose of Snowflake. To be ready for AI, you need an ecosystem for data.
You can’t have an AI strategy without a data strategy, says Matthew Rose of Snowflake. To be ready for AI, you need an ecosystem for data.
As agencies embark on data-driven journeys and begin embracing AI, it’s critical to understand their data networks and the gravity that agencies can create by identifying, mobilizing and harnessing more data into how they operate.
A GovLoop featured contributor offers seven predictions for government technology in 2024 and beyond.
Quantum computing offers great promise but also great risk, and current encryption standards are especially vulnerable to the quantum threat. There are actions that agencies can take today, however, to safeguard their systems.
Evidence-based policy can help state and local agencies identify and mitigate systemic harms to better serve their communities.
Improving public trust and engagement doesn’t happen by chance. It requires a strategy, a clear metric for success — more than click and open rates — and data to benchmark against.
Agencies benefit when they use their data to inform, test, and improve policy. Learn how to integrate data in your decision making.
As agencies modernize, they need to find, correlate and act on real-time data wherever it is and in whatever format, and to deliver searches in a new way. A cloud-based solution for government can help.
Agencies today often pursue targeted modernization programs, rather than sweeping changes. Here are four areas in which they’re devoted modernization resources.
Poor data management can undermine an agency’s AI innovations. But by following three core AI principles, embracing flexibility, establishing a comprehensive AI strategy and adopting a forward-thinking data management solution, agencies can realize AI’s potential.