Posts in Industry
Who do you trust most: a robot, an alarm clock or your partner?

I’ll kick off this post with a definition of trust, but focus on an analysis of trust in everyday and not-so-everyday situations: about 12,000 conversations among friends, family members and strangers. About 10% of all these conversations make some mention of trust. Then I’ll turn to more extreme situations exemplified by characters in 135 different TV shows, episodes are longer than conversations but on average 53% of TV episodes make at least one mention of trust.

Read More
Transactions are people

The most basic information about customer transactions tells you what someone bought, when they bought it, and for how much. But if that’s all you see, you’ve pretty much reduced people into rows in your spreadsheet and you’ve put to bed any ambition of understanding the relationships you have with customers. This is a post about coffee, but it’s also about waking up to the meaning and motivations behind transaction data.

Read More
Ethical AI: Products that Love People

Algorithms neither love nor suffer (despite all the hype about super-intelligent sentient robots). The products that algorithms power neither love nor suffer. But people build products and people use products. And a product that loves is one that, as Tyler Schnoebelen laid out in his recent Wrangle Talk, anticipates and respects the goals of the people it impacts. For us, this means building models with evaluation metrics beyond just precision, recall, or accuracy. It means setting objective functions that maximize not only profits, but the mutual benefit between company and consumer. It means helping businesses appreciate the miraculous nuances of people so they can provide contextual experiences and offer relevant products that may just make a consumer experience enjoyable.

Read More
Explain AI to me like I’m a 5-year-old…or a CEO

There are lots of articles about Artificial Intelligence, but it’s pretty hard to pin people down with a definition. So in this article, I’ll pull out the best definitions of AI from the Harvard Business Review. The HBR understands the context for C-suite executives well and CEOs of big companies usually have decades upon decades of experience.

But what if we swing to the opposite end of the spectrum — to people who have only been alive for half a decade? In the second part of the post, I’ll take data from child language acquisition studies and work out a definition of AI made up exclusively of words that five-year-olds understand. (These last paragraphs wouldn’t work at all.)

Read More