This week let’s talk about data in motion versus data at rest and how it applies to generative AI. These two terms refer to the state the data is in when we’re using it. Data at rest is data sitting someplace in storage, like a database. data in motion is data in transit, like streaming […]
Tag: AI security
In-Ear Insights: OpenClaw and Preparing for an Agentic AI Future
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss autonomous AI agents and the mindset shift required for total automation. You’ll learn the risks of experimental autonomous systems and how to protect your data. You’ll discover ways to connect AI to your calendar and task managers for better scheduling. You’ll […]
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In-Ear Insights: What Are Small Language Models?
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss small language models (SLMs) and how they differ from large language models (LLMs). You will understand the crucial differences between massive large language models and efficient small language models. You’ll discover how combining SLMs with your internal data delivers superior, faster […]
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In-Ear Insights: Everything Wrong with Vibe Coding and How to Fix It
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the pitfalls and best practices of “vibe coding” with generative AI. You will discover why merely letting AI write code creates significant risks. You will learn essential strategies for defining robust requirements and implementing critical testing. You will understand how to […]
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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 […]