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8 Artificial Intelligence Concepts & Terms for Nonprofits

Nonprofit Tech for Good

8 AI Concepts and Terminology Artificial Intelligence (AI): The simulation of human intelligence processes by machines, especially computer systems. Machine Learning (ML): A subset of AI that enables systems to learn from data and improve their performance without being explicitly programmed.

Technique 255
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Developing staff technology skills in your nonprofit

NTEN

How do you go about developing the technology skills of your staff? In this post, I will briefly explain how to pinpoint which technology skills folks need, assess current skill levels, provide training that doesn’t stink, and nurture a technology-positive culture where tech skills are a priority.

Skills 88
professionals

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Still Confused About AI, Learn the Facts A-Bot Us!

.orgSource

Once you’ve signed on for the voyage, know that every AI from ChatGPT to DALL-E has a different personality and skill set. Mini Code, Multiple Connections “There is a tendency to think of large language models as massive programs,” David said. Through exposure and feedback, it builds a deeper understanding of language. “AI

Learning 221
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Build a Successful Team, Know Where Your People Thrive

.orgSource

Of course, it’s important to consider skills. We were working on a system selection and installation with a recently promoted IT manager. The skill that got her promoted wasn’t balanced by the emotional readiness or sensitivity to undertake her new responsibilities. Here’s an illustration of this idea from my experience.

Team 221
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The #1 Skill Nonprofit Professionals Should Focus on in 2021

DipJar

So, you would think that the most pressing skill to build is in revenue generation, like fundraising , government grants, or fee-for-service programs. Yes, the number one skill that nonprofit professionals need to focus on in 2021 is marketing. The first skill to develop in seeking major gifts is prospect research.

Skills 98
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The Unrecognized Risk of Status Quo Problem-Solving Skills for Grantmakers

sgEngage

In a sector that is so risk-averse—afraid of change, reluctant to explore new ideas, and adopt new practices—why do we rely on super risky problem-solving skills? Most funders themselves use status quo problem-solving skills, so they expect you to do the same. Please help now.”

Problem 74
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Lessons Learned Living the Virtual Experiment

.orgSource

One bit of wisdom is that like most skills, managing a remote team is both easier and more complicated than we could have imagined. Organizations that were reluctant to update systems corrected deficits. These skills can now be put to use under less urgent circumstances. What are the lessons learned?

Virtual 251