Category: Machine Learning

  • The Predictive Analytics Process: Pulling Data

    In the last post, we looked at the consequences of having poor process in our predictive analytics practice. Let’s look at the first step of that process now. Pull If data is the new oil, pulling data is analogous to drilling and extracting oil from the ground. We need to identify what data sources we…

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  • The Predictive Analytics Process: Introduction

    The Predictive Analytics Process: Introduction While we understand the value of predictive analytics, the ability to see into the future with specificity and precision, we are often unclear on the process to develop predictions. As a result, our predictive analytics outputs are often incomplete, lacking context, or difficult to understand. Introduction: Where Predictive Analytics Goes…

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  • Cognitive Marketing: How AI Will Change Marketing Forever

    I had the pleasure and privilege of delivering the opening keynote at MarketingProfs B2B Forum. This year’s keynote is titled Cognitive Marketing: How AI Will Change Marketing Forever. For those who would like to see the slides, they are below. In addition, if you’d like a deeper dive into the type, I invite you to…

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  • Why Marketing Needs AI

    Why must we discuss AI in marketing? What’s so wrong with marketing today that we need the incredible powers of artificial intelligence and machine learning to solve? You’ve likely heard the cliché, “fast, cheap, good. Choose any two.” The premise is that we can have two out of three of these attributes, but we can’t…

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  • Where Is Your Data Refinery?

    Marketers and business folks love the expression, “Data is the new oil”, and I find it apt. Like oil, data has incredible potential to change and transform business. The energy surplus of the last century was powered mainly by oil, in the sense that oil vastly amplified the amount of work our species does. There’s…

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  • Does AI Work With Small Data?

    One of the fulfilled promises of artificial intelligence and machine learning is that these technologies make Big Data manageable. Big Data – the billions or trillions of records published daily – is beyond the scope of what humans can process. We would run out of lifetime before we read all the tweets, texts, and posts…

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  • Predictive Analytics and Email Marketing

    While we tend to think of the web and social media as the most data-rich digital marketing channels to apply predictive analytics to, every channel, every discipline, every strategy benefits from predictive analytics. Consider the workhorse of digital marketing, email marketing. Email marketing has long held the crown of maximum ROI, with figures such as…

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  • Predictive Marketing Blueprint for Fall 2017

    We’ve reached a critical moment in the calendar year. From the day after Labor Day until the end of the year, marketers – B2B and B2C alike – sprint for the finish line. Marketing programs that throttled budgets down during the summer months roar back to life. Dormant email campaigns awaken. Social media channels resume…

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  • The Power of Predictive Analytics and Google Analytics Data

    Few software packages for marketing are more widely adopted than Google Analytics™. It’s the gold standard for businesses large and small that want to measure what’s happening on their owned media properties like websites, eCommerce storefronts, and content hubs. Yet, as with so many other marketing measurement tools, Google Analytics tells us what happened. It’s…

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  • The Near-Future of Retail Marketing: AI and Emotion Recognition

    Artificial intelligence will impact every industry, every profession. In some cases, rather than replacing people, it will change how people do their jobs. Let’s examine the average retail interaction today. The Current In-Store Retail Marketing Experience At any average retail store, we walk in and are greeted – sometimes enthusiastically – by someone who doesn’t…

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