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artificial intelligence glossary

An Artificial Intelligence Glossary of Common Terms

--> 05 Dec

Developing a basic understanding of use-cases, trends, and applications for Artificial Intelligence (AI) is helpful to understand the context in which AI is deployed. Keep in mind “AI” is sometimes considered too broad to be a distinct “field.” Rather it is a technology “concepts” with clarifying needed to properly frame discussions on the topic. Therefore […]

Latent effects modeling in artificial intelligence

Applying AI: Healthcare Enrollment Optimization

--> 21 Nov

Here’s a case where AI rolled into the ongoing rollout of the Affordable Care Act (ACA). To avoid getting lost in the weeds, let’s just recall that there were big-money battles involving healthcare providers, the Federal government, and the confused, newly ACA-insured and wanted-to-be insured.

Cascade Strategies - AI is a tool

Truth to Marketers: AI is a tool, not THE solution

--> 14 Nov

Our previous post urged fellow marketers to “get over” the artificial intelligence (AI) hype. To stop thinking it’s all about “disruptive,” high-tech tools on the bleeding edges of the frontier. The VR goggles. The eye-tracking studies. The neuroscience applications. Yes, there are plenty of far edges out there, and we’re often leading them for our […]

Cascade Strategies - the artificial intelligence puzzle

About AI: Let’s Disrupt Your Idea of Disruption

--> 07 Nov

The marketing industry has been bombarding itself for years with ways to “manage” or “harness” the “disruption” brought upon us by artificial intelligence, machine learning,[insert advanced marketing buzzword here] and the like. What do we mean by “disruption?” We mean “OMG, scary, out-there science that’s escaped from the lab and now everyone has to wear VR […]

A Passionate Plea to Read the Data Fairly

--> 31 Oct

Continuing with our “Please Comment” campaign, this month’s topic is: “A Passionate Plea to Read the Data Fairly.”

There are Problems with Self-reported Data that Our Industry Needs to Address

--> 24 Oct

We need more than blue-ribbon commissions to “explore” the problem How many times do we have to be shown there’s something wrong with self-reported data before we actually do something about it? Below are just three instances of failure in self-reported polling data (wherein the respondent either tells the interviewer how he/she is going to […]

National attitudes changed massively from 2014 to 2016

--> 17 Oct

Many of the responses to our last blog (“How Has the Mood of the Country Changed in the Past Two Years?”), included comments like “a cheery mood is not what I’m hearing,” and “please run your national survey again.” Fair enough.  We will indeed run the survey again this year.

How Has the Mood of the Country Changed in the Past Two Years?

--> 10 Oct

There’s been a spate of articles recently indicating that the country’s in a sour mood. Major left and right factions seem to be in unyielding disagreement with each other, leading to a sense of deadlock, hopelessness, and dread. Hmm…that’s not what our research reveals. Just as our mid-2016 research was at variance with what the […]

Do voters choose candidates like breakfast cereal?

--> 03 Oct

In ordinary conversation people say they do.  But is there any science behind that idea?

Are You Using Biometrics for Market Research?

--> 26 Sep

Whether it’s brainwaves, skin temperature and conductance, heart rate, perspiration, pupil dilation, facial muscular contraction, or something else, the various methods of measuring biometric response for market research seem to be here to stay.