November 2016

New in Human+AI collaboration

photo of penguin navel-gazing
To be inspired, your audience needs to see how findings are reliable and relevant. Part 1 talked about creating practical checklists to ensure data-driven research is reproducible. This post describes how to deliver results that resonate with your audience. It’s nice when people review analytical findings, think “Hmmm, interesting,” and add the link to bitly....
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book cover Data-Driven Organization
1. Great stuff on data-driven decision making in a new O’Reilly book by Carl Anderson (@LeapingLlamas), Creating the Data-Driven Organization. Very impressive overview of the many things that need to happen, and best practices for making them happen. Runs the gamut from getting & analyzing the data, to creating the right culture, to the psychology...
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1. Deep knowledge → Wagering strategy → Jeopardy! win Some Jeopardy! contestants struggle with the strategic elements of the show. Rescuing us is Keith Williams (@TheFinalWager), with the definitive primer on Jeopardy! strategy, applying game theory to every episode and introducing “the fascinating world of determining the optimal approach to almost anything”. 2. Gun controls...
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  This week we examine how executives can more fully grasp complex evidence/analysis affecting their outcomes – and how analytics professionals can better communicate these findings to executives. Better performance and more trust are the payoffs. 1. Show how A → B. Our new guide to Promoting Evidence-Based Insights explains how to engage stakeholders with...
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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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