Are Government Employees Ready for AI?
When it comes to artificial intelligence, there’s a recurring question and concern that is regularly raised: How are agencies preparing the workforce?
When it comes to artificial intelligence, there’s a recurring question and concern that is regularly raised: How are agencies preparing the workforce?
Federal IT departments have long been the gatekeepers of technology. They’ve decided which applications employees could download and what devices could connect to the network. But for many agencies, that changed in recent years.
For agencies charged with delivering public services, their pursuit to do so in a thoughtful and data-driven manner is paramount. Admittedly, this approach starts with a decision to make data and business intelligence a strategic priority.
The Defense Department is following in the footsteps of companies like Tesla and Nextflix, both of which use an automated approach to develop, secure and release software.
The lesson learned was that public cloud has big benefits, but you need to examine your applications and use cases carefully.
The barrier to entry for agencies that adopt innovative technologies and approaches can seem daunting. It’s hard enough to change the hearts and minds of those used to working a certain way, but then there’s the challenge of learning a new process or tool.
Managing security risks and developing next-generation software often feels like competing priorities in government.
To understand employee sentiment, it took managers weeks or even months to comb through FEVS data. So EVS ART was created, a tool to view FEVS scores in an actionable and targeted way.
The administration is focused on continuous learning and development around automation and understanding its impact on the workforce.
Although there are still a fair amount of manual processes, HUD as a whole is starting to implement continuous integration and continuous development, key tenets of DevOps.