AI 101

Fundmetric is led by Dr. Greg Lee, a PhD. in machine learning, a branch of artificial intelligence.

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Why use AI (Artificial Intelligence)? 

AI (artificial intelligence) is revolutionizing the way charities, non-profits and fundraisers do business. AI powerfully combs vast amounts of data to identify prospects, opportunities and behaviors. Through AI, we are able to learn the root causes of behaviors and donor interests that are not visible using traditional fundraising methods and analytics. 

 

What is AI? 

There are many definitions, but at Fundmetric, our focus is on the machine learning branch of  artificial intelligence (AI). This sector allows computers to learn from data or experience with a speed, scope and level of analysis impossible for human beings.

From machine learning comes supervised and unsupervised learning.

With supervised learning, the machine is provided with a set of data described by features (e.g., a person’s age) and a label (e.g., ‘one-time donor’). In unsupervised learning, data is not labelled and the machine learns by exploring and clustering. There’s also semi-supervised learning, which is a mix of both.

Fundraisers know their donors well, but machine learning adds to this foundational knowledge by considering unique features (and combinations of features) at a magnitude that is impossible for humans to achieve. 

Machine learning algorithms are tremendously diverse, but perform operations on the relationship between features and a target value (e.g., ‘Will this lapsed donor contribute again or not?’).

Beyond the large number of features and feature interactions to consider, there are simply too many constituents for most charitable organizations to evaluate in terms of their likelihood to respond to varying fundraising tactics and approaches. Machines, however, are built for search and can evaluate thousands of potential donors’ probability of giving in a matter of seconds.

 

What is the Fundmetric Approach? 

At Fundmetric, we start by tackling the human challenges of integrating AI into your existing operations. Based on the principles of change management, we help leaders create the urgency, build champions and measure results.

Through it all, we remain guided by our core founding principle — Fundmetric must establish trust with gift officers and leadership who will make decisions based upon the recommendations we provide. 

3 Pillars to Successful AI Adoption

  

1. Trust

AI is famous for the insights that it provides. However, our data science team will demonstrate the intuitive conclusions found — in order words the things your team already knows and understands! Think of this as a sanity check for AI. It’s important that the machine itself doesn’t change reality, but instead empowers you to. 

The Fundmetric team studies learning styles and adapts how we deliver information:

  1. For visual learners, 

  2. for those who benefit audio-based instruction, 

  3. and those when learn by doing (kinesthetic). 

By delivering the information differently, we ensure AI is accessible and understandable to all. 

 

2. Risk Mitigation 

Fundmetric is moving the non-profit sector forward and while we never share data, the lessons and insights we employ are derived from the latest academic research, experience and the most unique data in the world.

Our experts will meet with you weekly to ensure we’re working together to achieve shared goals – and to make sure we maximize your return. We work closely with our clients to forge a safe, stable path, where return-on-investment remains our focus. 

 

3. Visualization

Fundmetric understands that seeing is believing, so while we use complex machine learning (AI), we visualize the data so anyone can absorb  the information Fundmetric generates. That’s how we help promote a progressive discipline to applying AI across your organization.

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Data Science overview

Learn more about the modelling techniques we use, the data we require, accuracy levels, and more.

 

Have questions about AI or want to learn more about our solution?