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{PODCAST} In-Ear Insights: Why Consumer Recommendation Engines Fail

by cspenn | Aug 26, 2020 | artificial intelligence, machine learning, podcast

In this episode of In-Ear Insights, Chris and special guest John Wall discuss the state of consumer recommendation engines. Why are recommendations so narrow and ineffective many times? What could we do to improve them beyond what we get now? Listen in as we discuss...

{PODCAST} In-Ear Insights: The Sorry State of Advertising

by cspenn | Aug 12, 2020 | advertising, artificial intelligence, machine learning, marketing

In this episode of In-Ear Insights, Katie and Chris tackle the sorry state of digital advertising, and advertising in general. Why is advertising so terrible? Are companies and marketers focused on the wrong metrics? What are we doing with the data we collect, and...

{PODCAST} In-Ear Insights: Should AI Adopt a Clinical Trials Process?

by cspenn | Aug 5, 2020 | artificial intelligence, data science, machine learning

In this week’s In-Ear Insights, Katie and Chris discuss the current state of AI deployment. Companies are rushing ahead to put models and algorithms into action with little to no due diligence, and the consequences can be disastrous. Should AI adopt a practice...

5 Ways Your AI Projects Fail, After Action Reviews and Post-Mortems

by cspenn | Apr 10, 2020 | artificial intelligence, data science, machine learning

Introduction The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are...

The Importance of Tag Memes for Understanding Social Networks

by cspenn | Apr 3, 2020 | data analytics, data science, machine learning, marketing, marketing technology, public relations, social media

This past week, our CEO Katie Robbert said, “can we be done with the “something about me and tag five people” on twitter thing? it’s really annoying now”. If you’re unfamiliar with the reference, there’s a Twitter meme where you share 5 jobs...

{PODCAST} In-Ear Insights: Predictive Analytics for Unpredictable Events

by cspenn | Mar 18, 2020 | data science, machine learning, podcast, predictive analytics

In this episode of In-Ear Insights, Katie and Chris respond to a listener question: how valid are predictive analytics forecasts when you’re in the middle of massively unpredictable events? How do you deal with the anomalies of a black swan event, and how do you...