Goal Formation

Posted on Posted in Business, Data Driven Culture, Data Science, Decision Neuroscience, Design Thinking, Economics, Machine Intelligence, Technology

Bart Gajderowicz delivered a great talk at Machine Intelligence Toronto about how people go through stages in accomplishing a goal [1]. The talk was about homelessness and AI approaches to public policy. I instantly saw a connection to all sorts of tensions that people endure when they set out on a goal. To distill the […]

Still in the Trough: Holiday VR Figures

Posted on Posted in Business, Decision Neuroscience, Technology, Virtual Reality

Previously, I argued that you should look at the Q4-2016 VR sales figures closely and then make decisions about whether to jump in. Some figures are in. SuperData Research, a technology research firm, estimated that Oculus had sold 360,000 headsets and HTC 450,000 since their products went on sale in March and June, respectively. Both […]

Predicting technical change in three variables

Posted on Posted in Data Driven Culture, Machine Intelligence, Machine Learning, Marketing Science, Predictive Analytics, Technology

A great mind in public policy told me, just this last September, that people are really bad at judging the rate of technological change and when it’ll affect them. It’s like standing on a railway. You can see the train out there. Some people assume that the train is going to hit them very soon. […]

Why the unimportant, urgent stuff gets done first

Posted on Posted in Analytics Strategy, Data Driven Culture, Marketing Science, Technology

Why does it seem like all the unimportant, easy stuff gets done first? Look up The Urgency Bias. Employing simplified games and real-life consequential choices, we provide evidence for “urgency bias”, showing that people prefer working on urgent (vs. important) tasks that have shorter (vs. longer) completion window however involving smaller (vs. bigger) outcomes, even […]

Into the Trough: BitCoin, Machine Learning, Social Analytics

Posted on Posted in Big Data Science, Business, Data Science, Machine Learning, Technology

Into the trough of disillusionment with the hyped technologies! The canary in the coal mine for me, with respect to BitCoin, is this post. Look, nobody has enjoyed more popcorn around BitCoin than I have. From Coinye to Dogecoin, crypto-currencies have delivered the lulz. Do I believe there’s a slope of enlightenment for crypto-currency? Absolutely. Do […]

Why did it come to this: adblocking and the old deal

Posted on Posted in Data Science, Marketing Science, Technology

Some reports have adblocking penetration at anywhere between 10% and 40%. Some publishers are blocking content from the adblockers. Others are making the ads unskippable with ad block. Broken systems are interesting, aren’t they? The system of advertising is broken. Here’s the best that I can explain it from as many perspectives as I can […]

The Quantitative, The Qualitative, The Total Consumer Experience

Posted on Posted in Marketing Science, Strategic Analytics, Technology

A tier one MSI topic focuses on how should quantitative methods and qualitative methods be combined to understand the total consumer experience. It’s an excellent topic. The two worlds aren’t natural complements. They have radically different systems of activities, tools, and methods, which in turn affects their own experiences, and how they see the world. However, if […]