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Deciding while distancing: From data viz to the hard decisions.

9 April 2020By
This is an anxious time for anyone in policy / decision analysis. Machine learning, analytics, statistical models, and decision intelligence are helping leaders grapple with the coronavirus pandemic, but weighing alternatives and connecting actions → outcomes requires so many things. Once the modeling is complete and the data visualizations are shared, then what? Newly anointed...
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What we talk about when we talk about deciding: Notes from DAAG 2019

1 May 2019By
Since my work is about humans+AI deciding together, I attended DAAG 2019 in beautiful downtown Denver, exploring the “intersection of decision analysis and data science to take decision-making to the next level.” The intent was for decision analysts to better understand data science and “support data-centric decision-making” while data scientists could better “guide the use...
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Our #1 fear: Withering under scrutiny.

6 February 2019By
Jerry Seinfeld was wrong when he claimed public speaking is our #1 fear. I’m pretty sure we’re more afraid of having our decisions scrutinized. Adding to the fun, now algorithmic decisions are under pressure too. It is rather painful to have decisions second-guessed before the numbers come in, and even worse if things go pear-shaped....
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Don’t build a data department store.

16 January 2019By
To paraphrase Raymond Chandler, too many projects deliver department store data: The most of everything but the best of nothing. Enterprise AI and analytics developers must avoid the mistake of underserving people by overengineering solutions. Designers and decision makers need straightforward tools to make them better, to save time and facilitate their best work. They...
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Everyone’s decision process, C-Suite judgment, and the Golden Gut.

28 December 2016By
1. SPOTLIGHT: MCDA, a decision process for everyone. ‘Multiple criteria decision analysis’ is a crummy name for a great concept (aren’t all big decisions analyzed using multiple criteria?). MCDA means assessing alternatives while simultaneously considering several objectives. It’s a useful way to look at difficult choices in healthcare, oil production, or real estate. But oftentimes,...
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Museum musings.

Pondering the places where people interact with artificial intelligence: Collaboration on evidence-based decision-making, automation of data-driven processes, machine learning, things like that.

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