Jennifer Robinson is SAS’ Global Public Sector Strategic Advisor, working to help governments maximize the use of their data through data integration, data management, and analytics. Her career in software development is complemented by the opportunity to serve as a local elected leader for the last 25 years. Jennifer co-wrote the book A Practical Guide to Analytics for Government and is featured in the book Smart Cities, Smart Future. In addition to writing articles and blogs about data-driven governing, she speaks with government leaders about emerging technologies and how to strategically adopt them.
Raise your hand if you’re using data and AI, but are as busy as ever. If that sounds familiar, you’re not alone. Many employees are still weighed down with high volumes of manual processing despite having data and analytics tools. For some, the workload has even increased as analytics and AI generate more information that requires review and
Agentic AI is generating excitement and being cheered as the next frontier in automation and decision-making. However, beneath the buzz, lies a sobering forecast: Gartner warns that “over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value, or inadequate
The critical link between skills, productivity and AI in the public sector Fifteen years ago, I would not have believed that my office would be phone-free or that meetings would be virtual, even with nearby colleagues. Today’s work environment would have seemed impossible back then. And as we look to
