Dive into real-world examples in areas like personalized messaging, tailored product recommendations, assistive search, personal services, and more. Join Katherine Munro in exploring this exciting new domain.
One-to-one messaging that doesn’t sound like spam, dynamic website design that adapts to individual users, and retail stores that recognize and welcome their visitors: as these examples show, there is no doubt that AI is revolutionizing the world of marketing, helping retailers provide more assistive, enjoyable experiences for customers and improving performance with it. It’s called ‘predictive personalization’, and it’s one of the hottest trends in AI-driven marketing.
In this lecture, you’ll learn how to interpret the inner-workings of an AI-based solution based on its marketing materials, such as its description on the vendor’s website.
You’ll also learn how we got here, from the far simpler, trial-and-error based personalization approaches of the past. And you’ll discover how advances in AI, Machine Learning, and Big Data techniques, as well as trends like IoT, rewritten the marketing playbook. With benefits such as more granular customer segmentation, better insights into the customer journey, and predictive analytics, marketers are able to innovate quicker than ever, creating experiences that engage and delight consumers, and ultimately, improve the business bottom line.
AI is revolutionizing marketing, and one of the strongest movements is towards personalized, assistive experiences. This is demanded by customers, desired by marketers, and enabled by advances in AI, ML, Big Data techniques, and trends such as IoT.
Then vs now: more granular customer segmentation, accurate attribution of how marketing efforts influence the customer journey, and predictive analytics, for forecasting customer behaviours and broader trends.
We’ll learn how to interpret the inner workings of an AI-based solution based on its ‘brochure description’, and walk through a real example of how a machine learning algorithm would be trained to create predictions for the marketing team.
We’ll explore real-world examples, in the areas of personalized messaging, tailored product recommendations, assistive search, personal services and more.
During this lecture, we’ll have a Q&A session where you’ll have the opportunity to consult with the instructor in real time.
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