Machine Learning Marketing Uses: How to Enhance Analytics and Win Jeopardy

machine learning marketing

The best techniques and technology in the world won’t help you if you don’t know how to use them. Annoyingly, with it being so new, it’s hard to tell what machine learning marketing use cases there are to base your efforts on.

In other fields, the breakthrough tech is being used in medical diagnoses, spam filtering, fraud detection, translation and more. All you need is some inspiration to get started with your own uses.

That’s why this post exists.

I’ll cover, in detail, the key ways machine learning is affecting marketing, and how it can be used to handle some of your business process automation, provide actionable data insights and predictions, and even win $1 million on Jeopardy.

Before that though, if you don’t know what machine learning is (or want a refresher), check out our other posts on the topic below:

Let’s get started.

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An Introduction to Machine Learning in Business: Analyzing Your Success

machine learning in business

While it might seem new and intimidating, machine learning in business is already bringing massive benefits to companies and consumers alike.

From increasingly effective product suggestions to accurate journey time predictions and advanced customer analytics, machine learning is an incredibly powerful tool which lets you analyze every important aspect of your business without wasting human hours on the task.

But what exactly is machine learning, and how do you go from knowing that to actually using it?

Instead of using labels to teach an AI what each object it’s looking at is, this DeepMind project teaches itself because it learns to recognise images and sounds by matching them up with what it can see and hear.

This method of learning is almost exactly like how humans think and learn to understand the world around them.” – Vaughn HighfieldHow Google DeepMind is learning like a child: DeepMind uses videos to teach itself about the world

Keep reading to find out all of this and to see examples (both good and bad) of how companies like Google and YouTube are using machine learning to enhance their business in game-changing ways.

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