So What Data Horror Stories

So What? Data Horror Stories

So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights, you’ll learn about common data horror stories that can plague any marketing team, and […]

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So What The AI Ready Data Quality Audit

So What? The AI-Ready Data Quality Audit

So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn how to approach a data quality audit in an AI-ready world. […]

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In-Ear Insights: How Data Quality Impacts Social Media Algorithms

In-Ear Insights: How Data Quality Impacts Social Media Algorithms

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how user data quality fundamentally controls social media algorithms, including the new LinkedIn LLM system. You will learn how modern social algorithms use language models to predict your engagement, shifting the control back to you. You will discover why your likes, […]

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FOUNDATIONS IN AI

Foundations in AI

This content was originally featured in the March 12th, 2025 newsletter found here:INBOX INSIGHTS, March 12, 2025: Foundations in AI, AI Model Benchmarking The Foundation Still Matters I was sitting in a lecture hall at Worcester Polytechnic Institute (WPI) last week, speaking to a room of bright students through the Women in Data Science (WIDS) […]

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INBOX INSIGHTS, March 12, 2025: Foundations in AI, AI Model Benchmarking

INBOX INSIGHTS: Foundations in AI, AI Model Benchmarking (2025-03-12) :: View in browser 👉 Take our new course, Mastering Prompt Engineering for Marketers! The Foundation Still Matters I was sitting in a lecture hall at Worcester Polytechnic Institute (WPI) last week, speaking to a room of bright students through the Women in Data Science (WIDS) […]

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