by cspenn | Oct 7, 2020 | artificial intelligence, machine learning, management, marketing, organizational theory, podcast, strategy
In this week’s In-Ear Insights, Katie and Chris discuss shiny object syndrome, blind spots in your marketing technology (especially around AI and machine learning) and how arrogance can lead to substantial technical problems in your tech stack and company...
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...
by cspenn | Aug 19, 2020 | artificial intelligence, data science
In this week’s In-Ear Insights, Katie and Chris discuss what happens when junior or naive AI engineers or data scientists make bad choices for algorithms. Using an example from a writing analysis website, we discuss what went wrong, what an appropriate choice...
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...
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...
by cspenn | Jul 22, 2020 | artificial intelligence, marketing technology, podcast, strategy
Based on a question from our analytics community, in this episode of In-Ear Insights, Katie and Chris tackle the challenges of new technology. When a new piece of technology makes a big splash, how do we evaluate it? How should we assess whether it’s right for...