Founders in Fundraising, and AI Applications

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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22,300
Published on ● Video Link: https://www.youtube.com/watch?v=38C0EsgHxuc


Duration: 48:35
124 views
3

Speaker(s): Ryan Henry, Jennifer Filla, Marianne Pelletier
Facilitator(s): Serena McDonnell


Find the recording, slides, and more info at https://ai.science/e/founders-in-fundraising-founders-stream-fundraising-edition--UCz0fmV1p4xw0vyFi39Y


Motivation / Abstract
Fundraising organizations often face uncertainty about when their next donation may come, and how much that donation may be. The use of machine learning can help predict these specific data points, thus helping organizations better plan their communications and team resources.


In this event, we will be joined by three founders in the fundraising domain who each bring their unique perspective to the prospect research problem. Attendees can expect to expand their knowledge of fundraising, including terminology, machine learning best-practices in the domain, and how information and insights can be best delivered to clients to maximize buy-in.


What was discussed?
- What is "prospect research"?
- Why is prospect research/annual gift modelling a hard problem? Does the difficulty lie on the technical side, or is it more of a business problem?
- How do you ensure data is presented to clients in a digestible format? What’s the best format to get buy-in?
- What sort of data do you work with? What’s the scale of it?
- Do you train models independently on each customer or train on multiple customers’ data? What privacy concerns come up?


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#AISC hosts 3-5 live sessions like this on various AI research, engineering, and product topics every week! Visit https://ai.science for more details



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Tags:
deep learning
machine learning
fundraising
charity
nfp
non for profit
ai
artificial intelligence