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The Two-Word AI Hack Every Nonprofit Needs to Know

Nonprofit Tech for Good

However, the sheer breadth of AI’s applications can be overwhelming, especially for those in the nonprofit space where resources are often limited and staff members wear multiple hats. These tasks include learning, problem-solving, language processing, and decision-making. Turn this knowledge into action.

Nonprofit 298
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How to Lead with Courage: A Conversation with Satonya Fair

sgEngage

The problems you are trying to solve are complex and the potential organizations you can support are many. If your application completion rate is low, you might jump to creating another webinar and flyer to walk people through the process, when it might be that your application is too long and requires bespoke data.

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Stay Ahead of AI’s Magic

.orgSource

Wikipedia offers this one : Intelligence has been defined as the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem-solving. While AI does involve logic and problem-solving, it does not think. It calculates.

Language 221
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3 Ways To Control Your Nonprofit’s Google Results

TechImpact

Nonprofits are facing a bevy of problems they never faced 10 years ago because of the internet and search engines. Make sure that every field is filled in fully, include your nonprofit’s name everywhere it is applicable. Knowledge is power. Image courtesy of Mashable. Optimizing these profiles is key, as well.

Results 229
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Build a Mission-Worthy Team

.orgSource

The answers to straightforward questions will typically indicate whether an applicant is technically qualified. But the ability to spot the qualities that make an applicant a contributor and avoid the dysfunction that characterizes a disruptor sets you up for successful team building. Hiring for fit is more challenging.

Team 221
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Data Entropy?—?More Data, More Problems?

Towards Data Science

Data Entropy — More Data, More Problems? Source: [link] “It’s like the more money we come across, the more problems we see” Notorious B.I.G Fully separating the two might hurt data production cycles and lead to a number of inefficiencies, not to mention the detriment it can have on knowledge transfer.

Data 104
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Baseten nabs $20M to make it easier to build machine learning-based applications

TechCrunch

Today, one of these, Baseten — which is building tech to make it easier to incorporate machine learning into a business’ operations, production and processes without a need for specialized engineering knowledge — is announcing $20 million in funding and the official launch of its tools. ”