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Threads for Nonprofits: 5 Tips for the Early Adoption Phase

Nonprofit Tech for Good

Nonprofit Tech for Good launched in 2005 as a Myspace page and in the 18 years since we’ve been through multiple early adoption phases of new social media — first Facebook and Twitter and then on to LinkedIn, Instagram, Pinterest, and Tumblr. Let’s get the hard part out of the way first.

Phase 289
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Creating Your 2025 Roadmap to Excellence 

.orgSource

Steps to Assess Current Capabilities: Evaluate Digital Readiness: Review your digital tools, infrastructure, and staff skills to identify areas for improvement. Identify Skill Gaps: Determine where training is needed, particularly in digital literacy and data analysis, to equip your team for success.

Create 221
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It’s a Sign: AI Platform for Teaching American Sign Language Aims to Bridge Communication Gaps

NVIDIA AI Blog

Signers of any skill level can contribute by signing specific words to help build an open-source video dataset for ASL. Whether novice or expert, volunteers can record themselves signing to contribute to the ASL dataset.

Language 143
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10 Tips for Managing Crisis Volunteers in Natural Disasters

sgEngage

Relief organizations have a roster of affiliated volunteers who are skilled in the work of disaster response, such as search and rescue. Many do not have specialized skills but do have a passion to help those left hungry or stranded by a flood, hurricane, or fire. Resources the volunteer can provide (boat, truck, chainsaw, etc.)

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Funding for digital literacy skills training to help more Canadians get online

Charity Village

The Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry, Government of Canada, launched the second phase of the Digital Literacy Exchange Program and announced a $17.6 This significant investment will support not-for-profit organizations that teach digital literacy skills […].

Literacy 105
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Google search’s next phase: context is king

The Verge

It’s these skills that the company is leveraging to make search not just more accurate, but more explorative and, it hopes, more helpful. Thanks to systems known as large language models (MUM is one of these), machine learning has got much better at mapping the connections between words and topics. One of Google’s examples is instructive.

Phase 127
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To Build or Buy a Software Solution: Which is Right for You?

Association Analytics

Creating your unique product requires a dedicated team with the appropriate skills. The first phase of crafting comprehensive requirements can be very time intensive. Out-of-the-box templates are easily configured to meet your business needs which significantly reduces the time-consuming requirements documentation phase.

Software 321