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Meat and Bones: Machine learning and DI working together for evidence-based management

I had a great call with the CEO of a possible partner company for Quantellia this week, where I found myself saying that Decision Intelligence is the “bones” to the “meat” of machine learning.   The image above shows what I mean.  Each star shows an influence link, and each on of these is a possible place where the results of machine learning—whether it’s a decision tree, neural network, simple linear regression, or even a deep learner—contributes to the decision model. As you can see: lots of stars = lots of ways that machine learning can help a decision model to be as powerful as it can be.

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The magical diminishing returns link, and why it can fix government budgeting (and yours, too)

A couple of years ago, I was honored to be invited to help with a US government budget. My team and I would fly to Washington, take the metro into Union Station, and meet with our clients, who were struggling with an important question: “how to do more with less?” as they distributed funds to hundreds of departments.

In the midst of the project, sequestration loomed, and then materialized, so this question became critical. Continue reading

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Getting the links right: Sketch graphs, AHP, ML, and more.

Cause-and-effect links live at the heart of complex systems.  And understanding them means we can go beyond historical data to understand situations we haven’t faced before, using piecewise causal links from the past to inform new situations.  This is incredible, because it breaks us from the tyranny of using only historical data in data science, machine learning, AI, and more.    Here’s how three previously separate approaches can be used to help us get the links right.

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