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From Data to Impact : How Artificial Intelligent is Driving Non-Profit Success
From Data to Impact : How Artificial Intelligent is Driving Non-Profit Success
From Data to Impact : How Artificial Intelligent is Driving Non-Profit Success
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From Data to Impact : How Artificial Intelligent is Driving Non-Profit Success

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"From Data to Impact: How Artificial Intelligence is Driving Non-Profit Success" is a groundbreaking book that explores the power of AI in transforming the non-profit sector. With real-world examples, practical insights, and comprehensive strategies, this book offers a comprehensive guide to leveraging AI to drive positive social impact. Whether you are a non-profit leader, a data professional, or simply interested in the intersection of technology and social good, this book is a must-read. It covers everything from smart fundraising and program operations to advocacy and team building, with a focus on ethical considerations and future implications. With its vivid storytelling and attractive format, "From Data to Impact" is a compelling and inspiring read that will leave you ready to supercharge your own non-profit with the power of AI.

LanguageEnglish
PublisherZiheng Song
Release dateApr 2, 2023
ISBN9798215213971
From Data to Impact : How Artificial Intelligent is Driving Non-Profit Success

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    Book preview

    From Data to Impact - Ziheng Song

    Book_Cover

    Copyright © 2023 BTSBD LLC.

    All rights reserved.

    No part of this work may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the copyright owner, except in the case of brief quotations embodied in critical reviews and certain other noncommercial uses permitted by copyright law.

    Content

    Chapter 1 Introduction

    1.1 What is Artificial Intelligence?

    1.2 Areas of Expertise

    1.2.1 Data Science and Machine Learning

    1.2.2 Natural Language Processing

    1.2.3 Smart Automation

    1.2.4 Computer Vision

    1.3 AI for Non-Profit: Can’s and Cant’s

    1.4 Moving From Interesting to Actionable

    Chapter 2 Smart Fundraising with AI

    2.1 Advancing from what you have

    2.2 What exactly is AI-powered Analytics?

    2.3 Multifaceted Analysis: Descriptive, Predictive, and Prescriptive

    2.4 Full Life-Cycle Analysis

    2.4.1Donor Acquisition

    2.4.2 Donor Renewal

    2.4.3Donor Upgrade

    2.5 RFM Modeling

    2.5.1 Introduction

    2.5.2 Steps to Perform RFM Analysis

    2.5.3 Challenges and Risks

    2.6 Analyze to Optimize

    2.6.1 AI to Personalize Donor Engagement

    2.6.2 Harnessing AI for Effective Grant Proposals

    Chapter 3 Empowering Program Operations with AI

    3.1 Revolutionizing Volunteer Management

    3.2 Smart Budget Management

    3.3 Automating Back-Office Workflows

    3.3.1 Bookkeeping and Accounting

    3.3.2 Human Resource Management

    3.3.3 IT Operations

    3.4 Performance Indicators: Programs, Staff, and Campaigns

    3.5 AI-Enabled Fraud Detection and Prevention

    Chapter 4 Scaling the Impact: AI and Non-Profit Advocacy

    4.1 AI Enabled Social Media Outreach

    4.2 Public Sentiment and Trends Analytics

    4.3 Empowering Grassroots Movements with AI Tools

    4.4 Enlarging Your Impacts through Computational Social Science Research

    Chapter 5 Build Your Team’s AI Competency

    5.1 Build or Buy?

    5.2 Starting an In-House AI Group to Empower Analytics

    5.2.1 Staff, Reporting Structure, and AI Infrastructure

    5.2.2 Measurable Goals and Objectives

    5.2.3 Training and Performance Review

    5.2.4 Milestones, Plans and Resource Allocation

    5.3 Purchasing from External Vendors

    5.3.1 Organization Considerations

    5.3.2 Vendor Considerations

    5.3.3 Find the Right Vendor

    5.3.4 Translating AI Tools to Non-Technical Leadership

    5.3.5 Investment Return Measurement

    Chapter 6 Case Studies: Examples of AI-Driven Non-Profit Success

    6.1 Data Science to Transform Humanitarian Aid – The Example of WFP

    6.2 AI for Clean Water – The Case of Charity: Water

    6.3 AI-Powered Drones for Animal Protection – The Lesson from Save the Elephants

    Chapter 7 Ethical Considerations and Potential Challenges

    7.1 Ethics and Bias in AI

    7.1.1 AI Ethics

    7.1.2 Bias in AI

    7.2 Adoption of AI in Non-Profit Organizations: Potential Challenges

    Reference

    Chapter 1 Introduction

    Are you ready to take your non-profit organization to the next level? If so, then you need to explore the incredible potential of artificial intelligence (AI). With the power of AI at your fingertips, you can supercharge your non-profit by uncovering new sources of funding, improving your outreach, and streamlining your operations. For example, AI can help you identify new donors and create targeted marketing campaigns to reach them, all while saving you time and resources. Plus, with AI-powered chatbots and virtual assistants, you can enhance your support and engagement with your beneficiaries, volunteers, and donors. The possibilities are endless when you harness the power of AI, and your non-profit will be better equipped to achieve its goals and make a greater impact in the world. Now, let’s take a look into the areas of expertise of the current artificial intelligence and how they could become future game changers in the non-profit world.

    1.1 What is Artificial Intelligence?

    Artificial intelligence (AI) is a field of computer science that focuses on the creation of machines that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. AI has become increasingly relevant in recent years, with many experts predicting that it will have a profound impact on the way we live and work in the future. Here are some interesting quotes from notable figures in the field of AI:

    Artificial intelligence is the science of making machines do things that would require intelligence if done by men. - Marvin Minsky, co-founder of the MIT Media Lab

    The best thing about AI is that it's like a mirror that reflects back to us what we tell it to do. - Fei-Fei Li, computer science professor at Stanford University

    Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on. - Larry Page, co-founder of Google

    I define AI as the ability of a machine to perform tasks that would normally require human intelligence to accomplish. - Andrew Ng, co-founder of Coursera and former chief scientist at Baidu

    Overall, AI is a rapidly advancing field that has the potential to transform many aspects of our lives, and it will be interesting to see how it develops in the coming years.

    1.2 Areas of Expertise

    1.2.1 Data Science and Machine

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