Category: Machine Learning

  • AI Primer for Marketers Part 5: AI-Powered Content Creation

    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 4: The AI Landscape

    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 3: Types of Machine Learning

    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 2: Algorithms and Machine Learning Basics

    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 1: Why AI/ML is Harder

    The most innovative marketers routinely pick up new things, try them out, and succeed or fail. When email became popular in the late 1990s, innovative marketers latched onto it. When websites and SEO surged in popularity in the early 2000s, marketers were there. When social media picked up in the mid-2000s, marketers cranked out the…

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  • What Should You Learn Next as a Marketer?

    A question I’m often asked is, “what should I learn next as a marketer?” And its variation, “what’s next for marketers that I should be studying?” Let’s assume you’ve mastered the basics, such as: Basic marketing strategy Analytics and reporting with common tools like Google Analytics Principles of digital advertising Content creation Conversation and community…

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  • How to Get Started with Machine Learning and AI

    At a recent dinner, I was asked, “how could a marketer get started with machine learning and AI?”. Plenty of vendors offer specific solutions, but what if we just wanted to dip our toes in the water? What if we even just wanted to know where the water is? Let’s look at how to plan…

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  • Marketers: Master Algorithms Before Diving into Machine Learning

    Many marketers are dipping their toes into machine learning and exploring the possibilities of what artificial intelligence can do for them. This curiosity, vital to their growth, belies an important fact: most marketers aren’t ready to embrace machine learning and AI yet. A critical piece of the puzzle is missing: mastery of algorithms. What is…

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  • 7 Marketing Trends in 2017, Part 6: AI Eats Everything

    In 2017, marketers will be using artificial intelligence and machine learning as the norm, not the exception. While not every marketer will be making direct connections to AIs such as Google Deep Mind or IBM Watson, more and more of our toolsets will have connections into at least one machine learning or artificial intelligence system.…

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