Not-for-profits are increasingly interested in how Large Language Models (LLMs) and Generative AI can help them achieve more with finite resources. This Connections article explores the use of cross-functional "improvement teams" to vet these novel technologies. By leveraging a formal charter, senior-leader champions, and subject matter experts, organizations can move past the hype to find objective, data-driven solutions for their specific missions
Struggling to explain prospect research to a new hire or wondering where to start with a donor record? Read the latest from Connections as Laurie Holmes previews Apra Fundamentals: Prospect Research, taking place April 7–9. This virtual program demystifies the research lifecycle—from capacity ratings to ethics—with practical, jargon-free instruction. Don’t miss the interactive courtroom-style debate on the ethics of AI! Register now to build your foundation.
Couldn’t make the conference or listen to the recording? No need for FOMO! This article brings the conference experience to you!
The 2025 Apra Debates focused on three critical prospect development issues: data access for fundraisers, the problem of too much data, and AI readiness. Debaters weighed data transparency against the need for expert interpretation, and the strategic value of comprehensive data against the risk of "analysis paralysis." While the audience leaned toward compromise on access and adopted an optimistic view of AI, the session underscored a core theme: prospect development professionals must remain strategic, adaptable, and focused on continuous learning to navigate the evolving industry landscape successfully.