Category: Data Science

  • Almost Timely News: 🗞️ AI and GEO Advice for Retailers for the 2026 Holiday Shopping Season (2026-05-24)

    _Almost Timely News: 🗞️ AI and GEO Advice for Retailers for the 2026 Holiday Shopping Season (2026-05-24) :: View in Browser_ The Big Plugs New things! 1️⃣ Prompt to Skill Plugin 2️⃣ My new GEO 101 course Content Authenticity Statement 95% of this week’s newsletter content was originated by me, the human. The chart in…

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  • You Ask, I Answer: Building ERP Systems With Vibe Coding

    Summary In today's episode, I explain how data scientists who do not code can use vibe coding to architect and build a custom ERP system. Here's what this means for you. You learn to leverage AI as a powerful tool by focusing on system architecture instead of manual coding. You'll also learn these concepts: why…

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  • You Ask, I Answer: Building Financial Market AI Assistants?

    Summary In today's episode, I examine the challenges of building AI systems for stock market prediction. Here's what this means for you. You can avoid the pitfalls of chasing market sentiment by using AI to build specialized expertise in stable, fundamental sectors. You'll also learn these concepts: why the stock market functions as a lagging…

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  • You Ask, I Answer: Best AI for Finding Influencers?

    Summary In today's episode, I explain how to use various AI platforms to identify the perfect influencers for your marketing niche. Here's what this means for you. You can move beyond generic lists to find the actual voices driving conversation in your industry. You'll also learn these concepts: how deep research tools utilize customer profiles,…

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  • You Ask, I Answer: Best AI Tools for Data Cleaning?

    Summary In today's episode, I explain why you should avoid using generative AI for deterministic data cleaning tasks and how to use it more effectively. Here's what this means for you. You will avoid common pitfalls like data hallucinations and incorrect imputations that ruin your datasets. You'll also learn these concepts: the distinction between probabilistic…

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  • You Ask, I Answer: How to Set KPIs for Non-Linear Journeys?

    Summary In today's episode, I explain how to identify meaningful KPIs within a non-linear customer journey. Here's what this means for you. You can replace stakeholder guesswork with statistical evidence to pinpoint the drivers of your business growth. You'll also learn these concepts: why revenue-based metrics serve as your primary KPIs, how to use tools…

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  • You Ask, I Answer: How Accurate Is Google Colab AI?

    Summary In today's episode, I evaluate the accuracy and trustworthiness of Google Colab AI for data analysis and code generation. Here's what this means for you. You can leverage Colab to perform complex mathematical computations more reliably than standard predictive language models. You'll also learn these concepts: why traditional AI struggles with math due to…

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  • You Ask, I Answer: Why is Marketing Data Rich but Insight Poor?

    In today’s episode, you’ll explore the intriguing paradox of why marketers, despite having access to vast amounts of data, often struggle to extract meaningful insights. You’ll discover the crucial role that well-defined questions play in guiding data analysis and learn why simply having data isn’t enough. I’ll share a practical framework that helps you transform…

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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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  • Almost Timely News, April 28, 2024: 🗞️ Building a Synthetic Dataset with Generative AI

    Almost Timely News: 🗞️ Building a Synthetic Dataset with Generative AI (2024-04-28) :: View in Browser 👉 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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