Category: Marketing Data Science
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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: The Gold Standard of Marketing Attribution
In today’s episode, you’ll discover the gold standard of attribution for marketers in an age of increasing privacy concerns. You’ll learn why traditional tracking methods are becoming less reliable and explore a powerful, yet often overlooked, alternative: simply asking your audience how they found you. I’ll explain how this straightforward approach, combined with the capabilities…
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Uplift Modeling: Unearthing the ROI Gold in Your Offline Marketing
Disclosure: This post was written by generative AI using Google Gemini 1.5 Pro, as demonstrated in this issue of my newsletter. Uplift Modeling: Unearthing the ROI Gold in Your Offline Marketing You love data. I love data. We all love data! Numbers tell a story, but sometimes those stories get lost in the noise –…
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Almost Timely News, March 24, 2024: A Guided Tour of the Most Powerful Generative AI Model Google Offers
Almost Timely News: A Guided Tour of the Most Powerful Generative AI Model Google Offers (2024-03-24) :: View in Browser Check out these two new talks, free for you to enjoy: 👉 Predictive Analytics and Generative AI for Travel, Tourism, and Hospitality 👉 Building the Data-Driven, AI-Powered Customer Journey for Retail and Ecommerce Content Authenticity…
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Mind Readings: Most Analytics Data is Wasted
In today’s episode, we’re diving deep into the often overlooked truth of analytics – the vast majority are unused and unactionable. You’ll learn why “analytics without action is distraction” and how this mindset shift can revolutionize your approach to data. Discover the transformative power of generative AI in making your data-driven customer journey not just…
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Mind Readings: AI Ethics Inside Language Models
In today’s episode, we delve deep into the realm of AI ethics, focusing specifically on the ethical dimensions embedded within AI models themselves. You’ll learn about the three critical levels of language models and how each level impacts the model’s ethical considerations. The discussion covers the three pillars of AI ethics – helpful, truthful, and…
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Mind Readings: Where is Apple in Generative AI?
In today’s episode, we’re discussing Apple’s strategy in the generative AI space. You’ll gain insights into the capabilities of Apple’s neural engine, the innovative architecture of their M-series chips, and the significant implications for AI and machine learning. Learn about Apple’s approach to integrating AI into their devices, offering not just more power, but also…
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Mind Readings: AI and Government Data
In today’s episode, we explore the transformative potential of AI in making complex government data accessible and useful. You’ll learn about the challenges of working with government-published data and how generative AI, like large language models, can revolutionize this process. Discover how AI can convert poorly formatted governmental records into valuable, analyzable data, opening up…
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Almost Timely News, August 20, 2023: The Impact of AI on Tomorrow
Almost Timely News: The Impact of AI on Tomorrow (2023-08-20) :: View in Browser 👉 📕 Get my new book, The Woefully Incomplete Book of Generative AI, absolutely free of financial cost 📕 👉 Watch the newest version of my talk, the Marketing Singularity, recorded live at MAICON 2023! 📺 Content Authenticity Statement 100% of…
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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 👉 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…