How Data Management Drives AI
The foundation of AI is data — high-quality, accessible and secure. Think of a pyramid, The top 10% or 20% is AI. Everything below is data and data management.
The foundation of AI is data — high-quality, accessible and secure. Think of a pyramid, The top 10% or 20% is AI. Everything below is data and data management.
Quantum computing offers revolutionary opportunities, but also poses a grave threat to current cryptographic systems. Here is how organizations can protect themselves from quantum risks.
Data alone isn’t enough to support a policy initiative. Here are some ways to tell a successful data story.
The GSA mandated federal agencies to migrate to Google Analytics 4, effective July 1. Here are some of the features that will change.
Government is understandably excited about the potential for AI to elevate constituent services and enhance mission outcomes. But AI needs data — lots of data — to understand patterns and deliver intelligible guidance to federal workers. As agency leaders tackle these hurdles, they need to think about the desired outcomes and how AI can add… Read more »
Government leaders can enhance constituent engagement by leveraging digital platforms, AI, and data analytics to create more responsive, transparent, and efficient public services.
Data visualizations are crucial to sharing the results of quantitative work. Ideally, they should help your audience understand your findings quicker, like a power-assisted bicycle. However, most of us are not trained in data visualization best practices and it can be difficult to know what type of chart to choose.
Innovation in the federal government isn’t just a trend — it’s becoming a fundamental part of how agencies operate. As technology continues to advance, federal agencies are finding new ways to be more effective, efficient, and responsive. But what’s really driving this next wave of innovation in government?
In Part 2 of their blog series, two featured contributors explore how AI Factories help organizations maximize their data potential and advance business priorities by using AI/machine learning.
Outdated systems can stifle innovation and frustrate users. But with machine learning, organizations can streamline their operations and implement a more user-centric approach.