{PODCAST} In-Ear Insights: Advances in AI Natural Language Generation and Marketing Implications
In this week’s In-Ear Insights, Katie and Chris talk about the newest advances in natural language generation and walk through an example of what’s available now for creating content with the assistance of AI. Watch the demonstration, listen to the...
{PODCAST} In-Ear Insights: Google MUM, SEO, and Content Strategy
In this episode of In-Ear Insights, Katie and Chris dig into the announcements around Google’s newly announced AI model for advanced search, MUM, or the multitask unified model. Learn what MUM is, why it should matter to content producers, and how to think about...
{PODCAST} In-Ear Insights: Ethics, Explainability, AI, and Tiktok
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
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
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...Free Weekly Newsletter
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