Christopher S. Penn – Marketing AI Keynote Speaker

Month: February 2017

  • Enterprise Social Media Strategy, Part 3 of 9: Create

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    Christopher S Penn

    Social media is nothing new. It’s been around for almost two decades. However, new practitioners are constantly entering field, and with every new marketing professional comes the risk of repeating the mistakes of the past. The old aphorism, “those who do not learn history are doomed to repeat it” is just as true in marketing

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  • Enterprise Social Media Strategy, Part 2 of 9: Clarify

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    Christopher S Penn

    Social media is nothing new. It’s been around for almost two decades. However, new practitioners are constantly entering field, and with every new marketing professional comes the risk of repeating the mistakes of the past. The old aphorism, “those who do not learn history are doomed to repeat it” is just as true in marketing

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  • Enterprise Social Media Strategy, Part 1 of 9: Introduction

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    Christopher S Penn

    Social media is nothing new. It’s been around for almost two decades. However, new practitioners are constantly entering field, and with every new marketing professional comes the risk of repeating the mistakes of the past. The old aphorism, “those who do not learn history are doomed to repeat it” is just as true in marketing

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  • How to Get Started with Machine Learning and AI

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    Christopher S Penn

    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

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    Christopher S Penn

    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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