Category: Data

  • You Ask, I Answer: Avoiding Generative AI, Part 2: Infrastructure

    Summary In today's episode, I walk through the infrastructure and security steps you need to take to keep your data out of generative AI training pipelines, as part two of a five-part series. Here's what this means for you. You'll see how bringing critical services in-house puts a physical wall between your data and third-party…

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  • Mind Readings: Reliably Wrong Data Is Okay

    In today’s episode, we’re tackling a truth that can be unsettling for many marketers: sometimes, your data is just plain wrong. You’ll learn why discrepancies in your analytics are more common than you might think and why that’s not necessarily a reason to panic. I’ll explain the difference between “reliably wrong” and “unreliably wrong” data…

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  • Mind Readings: Reliably Wrong Data Is Okay

    Summary In today's episode, I explore why business data is often wrong and how to tell whether that wrongness stays consistent enough to trust. Here's what this means for you. You gain a practical framework for diagnosing your analytics data and deciding whether you can still rely on it for forecasting. You'll also learn these…

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  • Mind Readings: Specificity is Scarcity

    Summary In today's episode, I break down a core maxim of generative AI: that specificity means scarcity, and why it dictates how much data you must supply to get useful results. Here's what this means for you. You gain a clearer mental model for judging when to lean on a model's built-in knowledge and when…

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  • Mind Readings: The Future of Social Listening in the Age of AI

    Summary In today's episode, I explain why traditional social listening is dying as AI companies hoard user-generated data to train their models. Here's what this means for you. Social media marketers will lose access to the broad public data they've relied on, forcing a shift toward owning private audiences and building first-party data systems. You'll…

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  • Almost Timely News, April 28, 2024: ๐Ÿ—ž๏ธ Building a Synthetic Dataset with Generative AI

    Almost Timely News: ๐Ÿ—ž๏ธ Building a Synthetic Dataset with Generative AI (2024-04-28) :: View in Browser ๐Ÿ‘‰ Did you miss my webinar this past week on generative AI for agencies? Go catch the free replay! Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. Learn why this kind of disclosure…

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  • Almost Timely News, April 14, 2024: ๐Ÿ—ž๏ธ Generative AI Needs Better Data, Not Bigger Data

    Almost Timely News: ๐Ÿ—ž๏ธ Generative AI Needs Better Data, Not Bigger Data (2024-04-14) :: View in Browser My Generative AI for Marketers course just got a massive update! Chapters 1, 2, 3, and 20 have been rebuilt with significant updates. If you’ve taken the course, log back in to get the updates. Content Authenticity Statement…

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  • So What? How to Get Started With Data Portability

    Summary In today's episode, I walk through what data portability means for marketers and how to assess whether your vendors let you extract your data easily. Here's what this means for you. You'll gain a practical framework for avoiding vendor lock-in and ensuring you keep control of your marketing data in any scenario. You'll also…

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  • Mind Readings: The Two Ingredients for Success in the Age of AI

    In today’s episode, discover the key elements that will determine your success in the world of generative AI. You’ll learn how to use data and ideas to your advantage, maximizing your creative output and personal achievements. This is a must-watch for anyone who wants to excel! Can’t see anything? Watch it on YouTube here. Listen…

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  • So What? How to Migrate Your Universal Analytics

    Summary In today's episode, I walk through whether you should migrate your Universal Analytics data before Google's deadline, along with the four practical options to actually do it. Here's what this means for you. You learn to avoid wasting time and money on data exports you don't need by applying the 5P framework before you…

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