Summary In today's episode, I walk through Matomo Analytics as a privacy-friendly alternative to Google Analytics 4 and explain how to set it up in parallel with your existing analytics. Here's what this means for you. You'll gain a simpler, directionally accurate way to answer basic website questions without battling GA4's complex interface. You'll also…
Summary In today's episode, I explore why most analytics data sits unused and how pairing it with generative AI turns raw numbers into clear recommended actions. Here's what this means for you. You'll discover a practical way to bridge the gap between collecting data and actually doing something with it so your dashboards finally drive…
Summary In today's episode, I walk through a real-world example of using generative AI to solve a data problem — specifically, extracting page titles and summaries from a list of URLs in an Excel spreadsheet. Here's what this means for you. You gain a crucial mental model for knowing when generative AI will help you…
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…
Summary In today's episode, I explore how generative AI unlocks government data trapped in hard-to-use formats like PDFs and legacy database outputs. Here's what this means for you. You gain a practical way to extract and transform publicly available but practically inaccessible government records into formats ready for analysis. You'll also learn these concepts: how…
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,…
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…
Summary In today's episode, I unpack the Zoom AI terms of service fiasco and what it signals about the data race happening across the tech industry. Here's what this means for you. You'll grasp why your data is now a strategic asset and how companies should be asking for permission rather than assuming consent. You'll…
Summary In today's episode, I walk through the prerequisites for fine-tuning large language models before you start the actual training process. Here's what this means for you. You'll understand the strategic groundwork needed to avoid costly mistakes when customizing models like Llama 2 for specific business use cases. You'll also learn these concepts: the trade-offs…
