“She Wants the Titles to Be in Red.”
Artificial intelligence (AI) can alleviate the frustrating parts of your job and augment your current abilities. But there are areas that should remain AI-free.
Artificial intelligence (AI) can alleviate the frustrating parts of your job and augment your current abilities. But there are areas that should remain AI-free.
Public information — about road closures, meeting times, emergency responses, and other concerns — may be accurate, but AI’s interpretation of such communications may not be. Learn about one option to address the problem.
Most data today are unstructured, found in everything from Microsoft Word documents and PDFs to video and social media feeds. That array of formats makes it hard for users to collect, analyze and act upon data. It creates an obstacle to data accessibility.
The future workforce challenge isn’t a talent shortage, it’s a pipeline design problem. As AI and cyber reshape work, organizations must shift from filling roles to building continuous, adaptive capability systems that produce decision-ready leaders at scale. Those who invest in integrated workforce pipelines today will define competitive advantage tomorrow.
Many people use artificial intelligence to help them compose work emails. AI may streamline that professional task, but there are drawbacks to relying on AI-generated messages.
Artificial intelligence (AI) can be a significant time-saver at work, but there are drawbacks when using the technology to help write work-related emails.
AI is no longer constrained by innovation; it is constrained by infrastructure, energy, and compute availability. As demand accelerates, leaders must shift from focusing on applications to designing resilient, scalable systems that enable sustained advantage. The future will be defined by who can power, govern, and scale AI effectively.
When AI systems process government information, they can’t always tell if a policy is current or even if it’s official. Structure provides the clues.
AI is reshaping decision-making across government, creating hybrid human-AI decision teams that combine machine speed and pattern recognition with human judgment, accountability, and context. Such collaboration can deliver faster and more effective mission outcomes, risk detection, and other benefits.
In this video interview, Nick Brown with Uber discusses the public sector’s status-quo approach to providing transportation services and the benefits of a modern alternative.