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reference to Google's Bard AI and Microsoft's Bing AI compared to conflict at Sopranos Bada Bing

What’s state-of-the-art when an AI cites sources of evidence? Part 1 in our series

28 February 2023By
Now that machines are answering questions and making decisions, it’s essential that people and AI get on the same page when citing evidence. What sources are considered acceptable? Where should citations be presented (inline, in conventional bibliographies, or…)? Should data/analysis be simply referenced, or transparently included in supporting data sets? Here we look at state-of-the-art...
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PitchLab shows how to present complex technology.

13 September 2018By
Present everything better! As co-organizer of the meetups Papers We Love – Denver and Domain-Driven Design – Denver, I was delighted to co-host PitchLab for a talk on presentation skills. Jay Mays and Keefer Caid-Loos did an excellent job explaining how to connect with your audience. Participants were engaged, and appreciated PitchLab’s approachable, ask-me-anything attitude. The...
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fox

What makes us trust analytics, and how to argue.

7 June 2018By
1. Prior experience → More trust In Trustworthy Data Analysis, Roger Peng gives an elegant description of how he evaluates analytics presentations, and what factors influence his trust level. First, he imagines analytical work in three buckets: A (the material presented), B (work done but not presented), and C (analytical work not done). “We can...
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action->outcome in PepperSlice

Guide: Promoting Evidence-Based Insights

10 February 2018By
Ugly Research offers a new guide, Promoting Evidence-Based Insights. Practical tips for presenting content with four essential characteristics: Top-line, evidence-based, bite-size, and reusable. Communicate quickly and powerfully by demonstrating value to decision makers. Show how A → B. So people don’t think tl;dr or MEGO (My Eyes Glaze Over), be sure to emphasize insights that...
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man and woman about to feed each other

“Big E” vs. “little e” evidence, and probabilistic thinking.

5 November 2017By
1. It’s tempting to think there’s a hierarchy for data: That evidence from high-quality experiments is on top at Level 1, and other research findings follow thereafter. But even in healthcare – the gold standard for the “gold standard” – it’s not that simple, says NICE in The NICE Way: Lessons for Social Policy and...
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The lean way to present to decision makers. (This isn’t a TED talk.)

15 October 2017By
There’s plenty of advice about designing presentations. But little of it prepares you for delivering complex evidence to senior-level decision-makers. This should help. How might your evidence help someone understand the steps required to reach an important goal? 1. Put together lean evidence, embracing lean management concepts. As explained by the Lean Enterprise Institute, “The...
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Anscombe quartet for data visualization

5 ways to tell a value story with data.

14 October 2017By
Source: Wikipedia. Anscombe’s quartet. Presenting to decision makers? Always remember it’s not a data story you’re telling, it’s a value story. First, ask yourself: What is the message? Why is this valuable and meaningful to your audience? Where did the data come from, and why are your conclusions believable? Then follow these 5 tips to...
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man tying necktie

How to present like a boss.

10 October 2016By
1. Present controversial evidence with just one slide. Throw out your slide deck and try the Extreme Presentation method, developed by Andrew Abela and Paul Radich during years of presentations at Procter & Gamble, McKinsey, and other leading companies. The technique involves first showing the audience the big-picture concept so they’ll immediately have a sense...
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presentation science

Free beer! and the “Science of X”.

15 June 2016By
1. Free beer for a year for anyone who can work perfume, velvety voice, and ‘Q1 revenue goals were met’ into an appropriate C-Suite presentation. Prezi is a very nice tool enabling you to structure a visual story, without forcing a linear, slide-by-slide presentation format. The best part is you can center an entire talk...
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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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