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{PODCAST} In-Ear Insights: Nontraditional Data Sources

by cspenn | Oct 16, 2019 | data science, machine learning, marketing, podcast

In this episode of In-Ear Insights, Katie and Chris discuss what to do when you data sources off the beaten path. What if the data you have doesn’t answer the questions you have? Where do you go to get such data? Listen in as they explore Mastodon,...

Losealikes

by John Wall | Oct 4, 2019 | machine learning, marketing, predictive analytics

On January 31, 1969 The Lompoc Record (a newspaper from Lompoc, California) carried an uncredited article from the United Press International Wire service with the Nipsey Russell-esque headline “Nets, Mets even play same way.” The author goes on to poke...

#INBOUND19 and #CMWorld 2019: A Visualized Data Recap

by cspenn | Sep 6, 2019 | analytics, conferences, events, machine learning, marketing technology

One of the biggest weeks in marketing events is over as INBOUND and Content Marketing World (CMWORLD) come to a close. Rather than rehash the common themes of both events, we thought it appropriate to analyze audience reactions to both. Let’s see both events by...

5 Ways Your AI Projects Fail, Part 5: Deployment-Related AI Failures

by cspenn | Aug 30, 2019 | artificial intelligence, 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...

5 Ways Your AI Projects Fail, Part 4: Modeling-Related AI Failures

by cspenn | Aug 23, 2019 | artificial intelligence, data science, machine learning, marketing

{PODCAST} In-Ear Insights: Predictive Analytics at BACon 2019

by cspenn | Aug 13, 2019 | data science, machine learning, podcast, predictive, predictive analytics

In this episode of In-Ear Insights, listen to the full, un-abridged audio from CEO Katie Robbert’s talk at the Business Analytics Conference (BACon) as she walks through use-cases for predictive analytics in multiple industries, from forecasting real estate...