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Mind the Gap: Building Digital Skills to Prepare Your Shop for AI
Data Science
Mind the Gap: Building Digital Skills to Prepare Your Shop for AI
By Nikolai Shchelkov | September 01, 2026

Efforts to adopt advanced tools like machine learning often stall because fundamental digital skills are missing. Many prospect development and advancement analytics professionals excel at relationship-building, writing, and strategy, but lack exposure to core data concepts. In this article, Nikolai Shchelkov, MSIS, MBA, introduces the concept of "Digital Skills Gap Fillers"—practical tools, prototypes, and frameworks that bridge the gap between basic capabilities and advanced IT systems to build team maturity.

Agentic AI for Prospect Research: A Prototyping Experience
Data Science
Agentic AI for Prospect Research: A Prototyping Experience
By Nikolai Shchelkov | July 21, 2026

Can a small, budget-conscious prospect development shop build its own secure AI tool? In the latest issue of Connections, Nikolai Shchelkov, MSIS, MBA, shares how he designed and tested a secure, offline agentic AI prototype at Eastern New Mexico University. Running entirely on a single laptop with zero budget, this tool allows researchers to ask natural-language questions of their donor giving history and get immediate, calculated results without risking sensitive constituent data.

The Ethical Considerations of Buying Donor Data
Data Science
The Ethical Considerations of Buying Donor Data
By Stephanie Willis | July 07, 2026

In the latest article for Connections, Stephanie Willis explores the complex legal and ethical landscape of buying, selling and renting donor data. Featuring insights from Mary Doorley Simboski and Sarah Marcotte, the piece highlights how list-sharing practices impact donor trust, compares U.S. and Canadian regulations and offers practical alternatives for growing an organization's donor base safely.

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