As agencies accelerate their adoption of artificial intelligence-based solutions, they need to ensure the underlying data is AI-ready. In this video interview, Andrew Churchill of Qlik and Piyush Bothra of AWS discuss how to lay a strong data foundation for AI initiatives.
Marshaling all their data can help agencies provide stronger and more complete services. Here’s what you need to bring your data to bear.
Decisions trigger action. But there are many professing data-driven decision-making approaches that inform only what already happened.
To streamline and accelerate delivering robust insights and better services, agencies should look for three capabilities: flexibility, integration and synchronization.
While no agency was totally ready to handle COVID-19, the ones quickest to their feet had widespread data literacy and readymade use cases.
Today, federal workers have the potential to make a real difference in the ways agencies serve citizens, and data is at the center of the movement.
“Governed visual analytics is essential,” said Heather Gittings, Director of Public Sector Market Development at Qlik. “Unfortunately, people hear governance and assume a heavy burden will be placed on the IT department. But that’s not the case.”
This blog post is an excerpt from GovLoop’s recent guide FITARA: What You Need to Know. Download the full guide here.
This blog post is an excerpt from GovLoop’s recent guide, the Open Data Playbook for Government. Download the full guide here. What separates good data from bad data? Well, a couple of things: How the data is displayed, its accuracy, and useful context about the data are all key. Whether we know it or not,Read… Read more »