Generally speaking, McKinsey gives good advice — better than Gartner, who have unhelpfully predicted that AI will create $1.2 trillion of “economic value” in 2018. In the case of McKinsey’s “Notes from the AI Frontier”, however, they have combined some useful thinking and case studies with an irresponsible presentation of market projections.Read More
It will surprise no one to learn that airport travelers tend to be wealthier and more educated than the general population. But here’s the interesting part: three quarters of frequent flyers say that they actually pay attention to advertising in the airport.Read More
Brand marketers have jumped at the chance to do something with the Alexa Skills platform, but have struggled mightily. To this point, they are almost all failures: Sloppy user experience, poor branding, and limited usefulness abound.
Why have so many brands failed? One simple fact: they approaching Alexa with too much advertising baggage.Read More
If you run marketing campaigns on Facebook, you might be frustrated by their limited built in reporting — or reliant on massive Excel spreadsheets to do your campaign analysis.
We decided to build a package for our favorite data science tool — R Studio — that pulls Facebook campaign insights directly from their marketing API.Read More
R isn’t just a tool for statistical analysis any more. It’s also a powerful platform for creating programmatic advertising campaigns.
We decided to dive deep into Facebook's marketing API to automate the creation of Canvas ads, using R Studio as the backend for creation and analytics. Here's what we learned...Read More
Google Affiliate Location Extensions have huge potential to drive offline sales. They make it possible for a manufacturer to advertise directly to active shoppers near a retail location that carries their product.
But if your product isn’t available at a national chain like Target or Costco, you are out of luck. We have a solution.Read More
We came to learn from a master. Instead we learned that Hadley is just like us. He makes mistakes. A lot of them. And it made all of us laugh. Not because Hadley was the fool, but rather because we all saw him fight through the same typos, errors, conflicts, and sometimes inexplicable bugs that we all face, every day.Read More
The wait is over, Artificial Intelligence is here. If your company isn’t doing it, start looking for a new job. Obsolescence, decline, and/or bankruptcy are around the corner.
The evidence is everywhere. Take for example drinks giant Coca-Cola, which used the mighty power of Artificial Intelligence to come up with a new flavor, Cherry Sprite, based on the mixes we puny humans selected from their make-your-own “Freestyle” machines.Read More
Machine Learning. Neural Networks. Hierarchical Clustering.
Does anyone know what these terms really mean? Sure, a handful of nerds know. Like the roughly 50,000 ranked Kaggle members.
But these esoteric terms only scratch the surface of what the world’s data scientists have come up with to describe, promote, and ultimately obfuscate their day to day jobs.Read More
Sherlock Holmes, Donald Trump, and the Data Science Paradox
Yes, “deducive” is a real word. And it’s the name we chose for our company. We chose it for its rational correlation to logic and the scientific method, as well as its emotional connection to a great fictional sleuth. But, in data science terminology, it may have been a bad choice.Read More