1:00-2:00 PM Eastern | Presenters: Kathy Phelps and Scott Rosenkrans
Join the team from DonorSearch for Part 2 of this two-part AI webinar series. See details about Part 1: From Promise to Practice - Change Management in AI Adoption.
What You'll Learn:
- Identify common barriers to AI adoption in nonprofits and across industries, including lack of executive sponsorship, user resistance, and poor implementation design.
- Analyze insights from the GenAI Divide 2025 Report and Nonprofit AI to understand why 95% of AI initiatives fail and how nonprofits can position themselves differently.
- Develop strategies for ethical and effective scaling by leveraging external partnerships, designing user-friendly solutions, and ensuring leadership alignment to maximize mission-driven ROI.
Sponsored by:
PLEASE NOTE: BY REGISTERING FOR THIS WEBINAR YOU AGREE TO HAVE YOUR CONTACT INFORMATION, INCLUDING E-MAIL ADDRESS, SHARED WITH DONORSEARCH FOR THE PURPOSE OF FOLLOWING UP ON YOUR INTERESTS.
Presenters:
Kathy Phelps is the Associate Vice President for DonorSearch AI at DonorSearch, where she helps nonprofit organizations harness the power of predictive machine learning to drive more strategic and effective fundraising. A lifelong nonprofit professional, Kathy brings deep expertise in turning data into actionable insights that support fundraising, prospect development, and program implementation. With a strong focus on the human side of technology, Kathy is especially interested in how people and behavior change influence the adoption and success of technology initiatives.
Scott Rosenkrans is the Vice President of AI Innovation and has been with the organization for four years. He began his journey in the nonprofit sector twelve years ago as a prospect researcher. He quickly became fascinated with data as he noticed the organization that he previously worked for was amassing a wealth of information but was unsure how to efficiently use the data and resources to its full potential. This led him to become interested in predictive modeling and data analytics. During this time, he began to create an immense commitment to delivering tailor-made machine learning models to nonprofits.