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Study the Data, But Eat the Cake—Put the Human Factor Forward

.orgSource

Anchoring bias makes people rely too heavily on the first bit of information they receive. Machine Learning, predictive modeling, and natural language processing are a few of the ways AI makes data more meaningful. Microsoft Azure Machine Learning is an Azure-based environment for building and deploying AI models.

Data 221
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The Unrecognized Risk of Status Quo Problem-Solving Skills for Grantmakers

sgEngage

Many funders want to wait to see how new models, programs, and leaders will perform, and they often require other funders to buy in before they will. They say things like, “We will create X program, it will serve Y people, in Z months, and it will create these A, B, C forms of measurable impact,” but do they really know any of that?

Problem 78
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Beyond the Newest Philanthropy Buzzword: Knowledge Work Is Core to Equitable Change

sgEngage

Whether you are working within a funding organization or on the ground in social change, developing an effective knowledge practice will help to advance strategic missions and goals. More people working in or with grantmaking organizations now have some term related to knowledge work in their titles or job descriptions.

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Modern Nonprofit Tools for Long-Term Success

sgEngage

Their business models depend on this. They’re supported round-the-clock by service teams ready to answer questions and ensure that your people get the information they need when they need it. Evaluate your vendors carefully and mitigate any security risk you may perceive. Move your applications and data to the cloud.

Tools 75
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Is the Higher Education Pipeline Shrinking or Just Taking a Nap?

sgEngage

People have been choosing to have fewer children, and that decline has significant implications for educational institutions worldwide. Re-evaluate your messaging. The phenomenon of our shrinking school-aged population is well documented. Adapt your marketing. Does it convey a unique advantage to potential applicants?

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How do you create a culture that is not afraid to fail (or be more receptive to social media?)

Beth's Blog: How Nonprofits Can Use Social Media

A few weeks ago, I had the pleasure of hearing Michael Quinn Patton , an evaluation guru, speak at the Packard Foundation. He described the challenges of adapting evaluation methods to non-Western systems in developing countries because evaluation has traditionally been deeply rooted in the Western ways of thinking.

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2018 eLearning Predictions: Updated Hype Curve

Forj

Artificial Intelligence and Predictive Modeling: As we’ve previously pointed out, it’s hard to define what AI is, and if you accept a wide definition of AI then it has been in use in eLearning for a while. We like that idea, and we agree that you need to provide many different pricing models. Peak of Inflated Expectations.

Hype 60