Category: Data Science

  • 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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  • So What? Generative AI and Analytics

    Summary In today's episode, I walk through how generative AI applies to analytics, which tools work best for different tasks, and the not-so-secret trick to using AI effectively with your data. Here's what this means for you. You discover that these AI tools are language prediction machines, not math calculators, so pairing them with actual…

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  • You Ask, I Answer: Managing Rectangular Data with Generative AI?

    Summary In today's episode, I share highlights from a live Q&A on generative AI transparency and the practical tools associations can use to handle structured data. Here's what this means for you. You'll walk away with a framework for building trust around AI use and a method for turning AI into a coding assistant for…

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  • You Ask, I Answer: What’s The Difference Between Good and Great Data?

    In today’s episode, I answer the question, “What is the difference between great data and good data or great data and data?” I explain how data is like the ingredients for cooking. Good data enables quality results, but bad data ruins everything. To find out more about the key role data quality plays in AI,…

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  • You Ask, I Answer: What’s The Difference Between Good and Great Data?

    Summary In today's episode, I break down the difference between great data, good data, and bad data, and why data quality matters more than tools or talent in AI applications. Here's what this means for you. You will see why feeding AI high-quality data is the single biggest factor in producing reliable, valuable results, no…

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  • You Ask, I Answer: Accounting and Tax Large Language Model Strategy?

    Summary In today's episode, I break down two architectural approaches for building large language models that handle tax and accounting data, including the trade-offs of each. Here's what this means for you. You get a clear framework for deciding whether to fine-tune a model or build an interpreter that connects to an up-to-date data source.…

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  • Almost Timely News, July 9, 2023: Data Analyst Career Questions

    Almost Timely News: Data Analyst Career Questions (2023-07-09) :: View in Browser ๐Ÿ‘‰ Watch this free YouTube video on how to set up Google Analytics 4 menus to mirror Universal Analytics Content Authenticity Statement 25% of this newsletter was generated by me, the human. That’s right, only 25%. Why? Because a friend and reader sent…

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  • So What? Why should you be using Marketing Mix Modeling?

    Summary In today's episode, I walk through how to create user stories for marketing mix modeling, apply the five Ps framework for requirements gathering, and turn the output into concrete budget decisions. Here's what this means for you. You get a realistic roadmap for building a model that survives statistical scrutiny instead of one that…

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  • Almost Timely News, March 26, 2023: What Could Go Wrong With AI?

    Almost Timely News: What Could Go Wrong With AI? (2023-03-26) :: View in Browser ๐Ÿ‘‰ Less than 100 days until Google Analytics’ Universal Analytics shuts down. Take my GA4 course to get going now on Google Analytics 4 โžก๏ธ Watch This Newsletter On YouTube ๐Ÿ“บ Click here for the video ๐Ÿ“บ version of this newsletter…

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  • Mind Readings: Large Language Model Bakeoff: Google Bard, Microsoft Bing + GPT-4, ChatGPT + GPT-4

    Today, we’re going to do a large language model bakeoff, pitting Google Bard, Microsoft Bing, and OpenAI’s GPT-4 against a series of 11 questions that will test their capabilities and compare outputs for a set of common tasks, informational and generative. Here are the 11 questions I tested: What do you know about marketing expert…

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