In-Ear Insights: No Code AI Solutions Doesn't Mean No Work

In-Ear Insights: No Code AI Solutions Doesn’t Mean No Work

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the crucial difference between ‘no code AI solutions’ and ‘no work’ when using AI tools. You’ll grasp why seeking easy no-code solutions often leads to mediocre AI outcomes. You’ll learn the vital role critical thinking plays in getting powerful results from […]

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AI data privacy

AI Data Privacy

This data was originally featured in the April 26th, 2025 newsletter found here: INBOX INSIGHTS, April 23, 2025: AI Integration Strategy Part 3, AI Data Privacy In this week’s Data Diaries, let’s talk about AI data privacy. I recently had the opportunity to speak at the Trace One User Conference in Miami, and one of […]

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AI Strategy Part 2

AI Integration Strategy Part 2

This post was originally featured in the April 16th, 2025 newsletter found here: INBOX INSIGHTS, April 16, 2025: AI Integration Strategy Part 2, Survivorship Bias in AI Approaching AI Integration Strategically – Part 2: The 5P Framework Last week, I found myself in a meeting where an executive announced they had purchased an enterprise AI […]

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Survivorship Bias in AI

Survivorship Bias in AI

This data was originally featured in the April 16th, 2025 newsletter found here: INBOX INSIGHTS, April 16, 2025: AI Integration Strategy Part 2, Survivorship Bias in AI This week, let’s talk survivorship bias. This is a phenomenon in statistics that has broad applications outside of stats. In a nutshell, survivorship bias is when your data […]

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AI Integration Part 1

AI Integration Strategy Part 1

This data was originally featured in the April 9th, 2025 newsletter found here: INBOX INSIGHTS, April 9, 2025: AI Integration Strategy Part 1, AI Prompting Frameworks Approaching AI Integration Strategically – Part 1 The pressure to adopt AI is everywhere, but rushing in without a strategy is like me trying to walk my 125 lb […]

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INBOX INSIGHTS, April 23, 2025: AI Integration Strategy Part 3, AI Data Privacy

INBOX INSIGHTS: AI Integration Strategy Part 3, AI Data Privacy (2025-04-23) :: View in browser 👉 Take our new course, Generative AI Use Cases for Marketers, now live! Watch This Newsletter Listen to the audio version here on Substack. Approaching AI Integration Strategically – Part 3: Implementation I once sat through a painful meeting where […]

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AI Stability

AI Stability vs. Capability

This data was originally featured in the April 2nd, 2025 newsletter found here: INBOX INSIGHTS, April 2, 2025: Failing Up, AI Stability vs. Capability In this week’s Data Diaries, let’s talk about AI tool choice and software. One of the most common questions I’m asked at literally every event is what AI software an organization […]

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Change management in AI and SEO

Change Management in AI and SEO

This content was originally featured in the March 26th, 2025 newsletter found here: INBOX INSIGHTS, March 26, 2025: Change Management in AI and SEO, Content Translation Change Management: Navigating SEO for AI I’ve been thinking a lot about the shift happening in SEO lately. We’re no longer just optimizing for Google’s algorithms and human readers […]

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INBOX INSIGHTS, April 9, 2025: AI Integration Strategy Part 1, AI Prompting Frameworks

INBOX INSIGHTS: AI Integration Strategy Part 1, AI Prompting Frameworks (2025-04-09) :: View in browser 👉 Pre-order our new course, Generative AI Use Cases for Marketers! Watch This Newsletter Approaching AI Integration Strategically – Part 1 The pressure to adopt AI is everywhere, but rushing in without a strategy is like me trying to walk […]

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In-Ear Insights What is Retrieval Augmented Generation (RAG)

In-Ear Insights: What is Retrieval Augmented Generation (RAG)?

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss Retrieval Augmented Generation (RAG). You’ll learn what RAG is and how it can significantly improve the accuracy and relevance of AI responses by using your own data. You’ll understand the crucial differences between RAG and typical search engines or generative AI […]

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