Category: Machine Learning

  • What is Predictive Analytics?

    I’ve spent a lot of time recently working with predictive analytics and showcasing a few examples here on the blog like predictive SEO and predictive social media. However, we haven’t really dug into what predictive analytics is, so let’s tackle that today. What is Predictive Analytics? If we ask Wikipedia for a definition, this is…

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  • The Power of Predictive Analytics and Social Media Data

    We can pinpoint the exact moment the “Golden Era” of social media analytics died. It wasn’t a slow fade. It was February 9, 2023, the day X (formerly Twitter) shut down its free API, instantly breaking thousands of research tools and third-party apps. Before that date, we lived in an era of “permissive access.” If…

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  • How Machine Learning Introduces Unconscious Biases

    What constitutes an unacceptable real-world bias? We might argue that any perspective which unfairly disadvantages someone based on non-material criteria is an unfair bias. For example: Choosing one job candidate over another due to skin color or “ethnic-sounding names” Setting different pricing for one customer over another because of religious views Paying one person less…

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  • Why AI Presents A Potential Income Inequality Problem

    Artificial intelligence poses a future potential problem in the exacerbation of income inequality, much in the same way that automation and robotics creates an income inequality problem today. The Old Way of Making Money In the days before automation and robotics, factories hired humans to do repetitive, boring, and dangerous tasks. Factory owners sold their…

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  • How to Tell What’s Real and What’s Hype in AI

    AI is the hot topic of discussion now, and it’s understandable for people to wonder just how much of the talk is hype and how much is real. Go to any tech trade show or conference and AI is splashed across every vendor’s product descriptions. Read the news headlines and one would be excused for…

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  • The Power of Predictive Analytics and SEO Data

    Few things are as compelling to marketers as the promise of prediction. Every marketer wants to know what will happen; what has happened is of less interest because we can’t change the past. If we knew what was likely to happen, we could plan in advance for it. Suppose we knew what was going to…

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  • AI Primer for Marketers Part 9: Preparing For the Future

    The most innovative marketers routinely pick up new things, try them out, and succeed or fail. Why are marketers struggling so much to adapt to artificial intelligence and machine learning? In this series, we’ll explore machine learning and artificial intelligence to build a foundation for understanding the field – and how it applies to marketing.…

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  • AI Primer for Marketers Part 8: AI-Powered Distribution

    The most innovative marketers routinely pick up new things, try them out, and succeed or fail. Why are marketers struggling so much to adapt to artificial intelligence and machine learning? In this series, we’ll explore machine learning and artificial intelligence to build a foundation for understanding the field – and how it applies to marketing.…

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  • AI Primer for Marketers Part 7: AI-Powered Analytics

    The most innovative marketers routinely pick up new things, try them out, and succeed or fail. Why are marketers struggling so much to adapt to artificial intelligence and machine learning? In this series, we’ll explore machine learning and artificial intelligence to build a foundation for understanding the field – and how it applies to marketing.…

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  • AI Primer for Marketers Part 6: AI-Powered Conversation

    The most innovative marketers routinely pick up new things, try them out, and succeed or fail. Why are marketers struggling so much to adapt to artificial intelligence and machine learning? In this series, we’ll explore machine learning and artificial intelligence to build a foundation for understanding the field – and how it applies to marketing.…

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