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{PODCAST} In-Ear Insights: Ethics, Explainability, AI, and Tiktok

by cspenn | Feb 10, 2021 | artificial intelligence, ethics, podcast

In this episode of In-Ear Insights, Katie and Chris tackled the thorny ethics of what you put in your AI models, based on leaked memos from Tiktok allegedly discriminating against protected classes. How do we know when an AI model is behaving badly by accident and by...

{PODCAST} In-Ear Insights: Shiny Object Syndrome and Tech Arrogance

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...

{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: When Algorithm Choices Go Wrong

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...

{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...