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8 Artificial Intelligence Concepts & Terms for Nonprofits

Nonprofit Tech for Good

Neural Networks: Algorithms inspired by the human brain that are used in deep learning and other AI applications. Identify potential applications of AI in nonprofit daily tasks. Machine Learning (ML): A subset of AI that enables systems to learn from data and improve their performance without being explicitly programmed.

Technique 209
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4 Ways Nonprofits Can Start Using AI in 2024

Nonprofit Tech for Good

DALLE , an image generation tool, Vision, an AI-driven image analysis tool, and Advanced Data Analysis provides the ability to upload a CSV file for AI to identify trends, create graphs, and generate reports. Even if AI advancements were to stop today, it would take years to explore all its applications.

Policy 334
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Mastering Next Year’s Budget With Revenue Projections and Donor Attrition Analysis

Neon CRM

Understanding Revenue Projections When a nonprofit is putting together a budget for the coming year, an important step is to perform a revenue projections analysis that can inform the expected amount of income used for operational expenses and deepen mission impact. The article below has everything you need to know—and then some.

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How Organizations can benefit from a Business Process Automation application

fusionSpan

Business Process Automation (BPA) is the application of technology to replace recurring, manual tasks, allowing organizations to focus on more strategic initiatives. Better data for decision making – By automating data collection and analysis, associations can make better-informed decisions about their operations.

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Creating a Nonprofit Digital Strategy with ChatGPT: A Practical Guide

Nonprofit Tech for Good

Explore how the strategic integration of SWOT analysis, audience mapping, SMART communication targets, channel identification, content strategy, execution and evaluation, and high-level communications planning can shape a successful digital transformation. With ChatGPT’s analytical prowess, the process can be augmented.

Digital 299
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We’re 39 percent similar; how can we be exponentially better?

Candid

One such data story is this: Though long suspected, we finally have the data to confirm that 39 percent of our grant applications are duplicative across funders. Analysis of grant applications from 130 funders. Where contact information is requested, provide (if applicable) Name, Title, Address, Email Address, Phone Number.

Grant 111
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Big Data and Predictive Analysis: What Every Small Business Needs to Know

Wild Apricot

With explosion of real-time data applications, it is but obvious that a huge amount of data is accumulated in various applications. Big data is not just for the big companies. Big data has been around for quite some time, but it may seem like an elusive jargon to you.