Driving Operational Excellence with Generative AI: An Artifact‑Centered Approach
GenAI can be a powerful driver of operational excellence, but only when it operates within a disciplined, artifact‑centered framework.
GenAI can be a powerful driver of operational excellence, but only when it operates within a disciplined, artifact‑centered framework.
Agencies may be concerned on knowledge loss as employees retire or seek other opportunities. AI can help.
Worried AI will make us dumber? Socrates had the same fear — about writing. Spoiler: We turned out fine. Is it time to reframe the AI debate?
AI is making it easier to utilize all of the data government agencies hold. Data literacy is becoming a critical component of success.
In this video interview, Commvault’s Richard Breakiron discusses data resiliency and explains how agencies can develop a clear understanding of their data assets and leverage automation and AI to derive insights.
Better data quality translates into better AI models. Here are some areas where agencies should focus their governance efforts.
AI’s roductivity gains don’t automatically translate into shared prosperity. How do we ensure AI accelerates, rather than undermines, economic mobility?
AI governance is not just about defining do’s and don’ts. It’s about cultivating an environment in which AI initiatives are more likely to succeed.
Most agencies may not know all the ways AI could transform their operations and services, but they know it will. Here are tips for what’s ahead.
In this video interview, UiPath’s Chris Radich discusses how government agencies can get ready for the agentic AI era.