Deciphering the Need for AI Data
AI algorithms need reliable, high-quality data to generate high-quality results. Learn how to implement a data strategy that leads to more trusted sources and truer AI answers.
AI algorithms need reliable, high-quality data to generate high-quality results. Learn how to implement a data strategy that leads to more trusted sources and truer AI answers.
Learn how two government agencies use data to provide transparency, building understand and trust for constituents.
Carlsbad, California’s approach to economic storytelling, based on geospatial data, is a blueprint for how local governments can use the tools they already have to build the communities they envision.
In this video interview, Jim Weaver with Pure Storage discusses how agencies can maximize their data’s potential with modern, enterprisewide data management.
In this video interview, Daniel Fager of Qlik explains the elements of a strong data foundation and how they help maximize the value of your data.
In this video interview, Luke Norris with Granicus discusses AI’s transformative possibilities and offers specific guidance for the public sector.
In this video interview, Cloudera’s Carolyn Duby discusses how agencies can bring better discipline to managing their cyber data and using it to strengthen their defenses.
Data-driven decision-making improves effectiveness and efficiency, increases transparency, and enables agencies to be more proactive. But raw data alone rarely inspires action.
AI is making it easier to utilize all of the data government agencies hold. Data literacy is becoming a critical component of success.
In this video interview, Commvault’s Richard Breakiron discusses data resiliency and explains how agencies can develop a clear understanding of their data assets and leverage automation and AI to derive insights.