Backasting

Posted on Posted in Analytics Strategy, Business, Design Thinking, Strategic Analytics

Backcasting is a fantastic technique. It was invented in Canada. You’re welcome to use it. If it sounds like forecasting – well – that’s because it’s kind of like forecasting. With an important difference. That wikipedia page says: Whereas forecasting is predicting the future (unknown) values of the dependent variables based on known values of the independent variable, backcasting can be considered the prediction […]

How I made peace with Total Addressable Market

Posted on Posted in Data Driven Culture, Design Thinking, Machine Intelligence, Marketing Science, SaaS, Technology

I was 28 and sleepless when I encountered a marketing version of the logistic function. It was beautiful. It’s one of those things you’re taught about in one context, and when you’re shown it from another angle, it expands your mind. It was like discovering Pi for the first time. I could use it to […]

Unsupervised Learning at the Rework Deep Learning Summit

Posted on Posted in Artificial Intelligence, Data Science, Decision Neuroscience, Machine Intelligence, Machine Learning, Technology

It was a treat to see these three – Yoshua Bengio, Yann Lecun, and Geoffrey Hinton – for an afternoon. Easily the best three consecutive hours I’ve ever seen at a conference. They remarked that Canada continues to invest in primary research. And this is a strength. Much of the exploratory work these three executed […]

Hinton on Back Propagation: I don’t think it’s how the brain works

Posted on Posted in Artificial Intelligence, Machine Intelligence, Machine Learning

Hinton is quoted as saying, with respect to back propagation, “I don’t think it’s how the brain works”. You can read the full article here. Back Propagation To oversimplify, in Back Propagation, the influence of each neuron is rewarded based on how well it predicts something. Accurate predictions are rewarded with more influence. Bad predictions […]

Decision Automation, Strategy Formation, and the Generation of New Decision Pathways

Posted on Posted in Analytics, Analytics Strategy, Artificial Intelligence, Big Data Science, RecSys, Social Analytics, Strategic Analytics, Technology

An orthodox Software as a Service (SaaS) business is, in part, math that an organization tries its best to manage. Think about all the math that goes into the construction of a typical SaaS firm. At the core there’s some customer with a job: a goal against which the customer wants to make progress. They […]

The Assembly Line And The Artificial Intelligence Line

Posted on Posted in Artificial Intelligence, Big Data Science, Data Driven Culture, Data Science, Machine Intelligence, Machine Learning, Marketing Science, Technology

The other I likened the process for taking apart a Job To Be Done to taking a part a lobster. There’s a very effective way to decompose any problem with enough energy. And then I watched The Founder on Netflix and admired the McDonald brothers using a classic technique in management science to refine a […]

The Marketing Science of Data Science of Marketing Science

Posted on Posted in Artificial Intelligence, Business, Machine Learning, Marketing Science

Earlier in the month, I dined under the space shuttle Endeavour with some of the best minds in marketing science. One mind remarked: “That’s why I bring a glossary with me, oh, you want to do supervised learning? Oh you mean regression? Oh, okay, now we can talk… We’ve been talking to managers about these […]

What if Total Addressable Market can’t be estimated accurately?

Posted on Posted in Data Science, Economics, Machine Intelligence, Marketing Science

What if Total Addressable Market can’t be estimated accurately? What then? What is Total Addressable Market (TAM)? Total Addressable Market, or TAM, is the number of buyers who are Willing To Pay (WTP) for a solution to a problem they have now, or are Willing To Pay (WTP) your firm instead of the firm they’re currently […]