Ann Green's Nonprofit

JANUARY 27, 2025

You could spruce up these monthly acknowledgments, both by making them sound like they were written by a human and not a robot or AI, and by providing some engaging updates. You could encourage donors to give via an electronic funds transfer from their bank account instead.

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Pamela Grow

JUNE 6, 2024

Trends for 2024 indicate a rise in AI for donor communications. However, these same trends also indicate that these AI-written messages, if poorly implemented, may alienate donors. After all, donors are unlikely to feel valued if they receive the same AI-created email from every nonprofit they support. Send eCards.

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Blackbaud

FEBRUARY 2, 2024

Nonprofit leaders often have an all-or-nothing response to the question of using artificial intelligence (AI) tools. Either they’re all in from the start—“What if AI solves all our problems?”—or or they opt out before they even understand what AI could do for them. How Will AI Help Your Team? That’s okay, too.

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Library Grants

MARCH 17, 2025

Pacific ACRL and the Elsevier Foundation are providing a pilot community of practice program, entitled Bridging the Gap: An AI Community of Practice. A train-the-trainer model will enable early-career librarians to extend AI knowledge and skills within their institutions and communities. This letter (max.

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The NonProfit Times

JANUARY 7, 2025

The announcement came during the Consumer Electronics Show in Las Vegas. Production services will also be available for a fee via a generative AI ad manager (powered by streamr.ai ) and creative generator. The idea is to get unused ad space from CTV publishers to nonprofits.

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Ann Green's Nonprofit

AUGUST 13, 2024

Even before AI came into the picture, many thank you emails sounded downright robotic. Email and social media may not be as successful, especially if your donors don’t use electronic communication very much. This email thank you is more of a reassurance to let your donor know you received her donation.

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iGrantWriters

JUNE 14, 2023

The goal is to leverage artificial intelligence (AI), machine learning (ML), and deep learning (DL) techniques to create geospatial products and improve understanding of physical and biotic connectivity in landscapes. Agency Name: Dept.

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