What Content Marketers Need to Know Now About Artificial Intelligence

Instead, AI gives marketing teams the ability to process big data extremely fast and then automatically identify patterns in the data to develop content and strategies better, faster and cheaper. A familiar use case for many of us is how Netflix uses AI to suggest content and manufacture shows based on subscriber viewing habits and preferences. If you’re eager to learn more about AI, machine learning and how intelligent technology is impacting content marketing, below is a brief FAQ with some top questions we get on the topic along with links to some must-read resources for a deeper dive into artificial intelligence. Artificial intelligence is a broad field that covers many different applications and technologies, including machine learning, deep learning and natural language processing. How are machine learning and AI being used by content marketers today? But one of the biggest opportunity areas we see today and the near future is with content personalization. While many marketing personalization solutions take a more segment-based or rules-based approach, machine learning-based technology can predictively personalize content based on user behavior and context, delivering personalized experiences that are individually relevant to each person. These automated, algorithm-generated content primarily consist of data points and compilations of simple facts. AI takes traditionally human-powered and automated tasks and adds a cognitive layer to it (like natural language processing or machine learning), which allows algorithms to process large amounts of data. Content marketers can focus on enhancing and optimizing content strategies, rather than creating everything from scratch.

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When you think about artificial intelligence (AI), robots, androids and other futuristic technologies may come to mind. And while some of the most successful tech companies like Facebook, Amazon and Google have built their success on industry-changing applications of artificial intelligence, the concept is still fairly new to content marketing teams.

In the most basic sense “artificial intelligence” broadly refers to the processes and technologies that are created to teach machines to perform intelligent tasks. For content marketers, “intelligent tasks” typically refer to algorithms designed to process data. This goes far beyond automation, which is where the majority of marketing technology supports marketing teams today. Instead, AI gives marketing teams the ability to process big data extremely fast and then automatically identify patterns in the data to develop content and strategies better, faster and cheaper.

A familiar use case for many of us is how Netflix uses AI to suggest content and manufacture shows based on subscriber viewing habits and preferences. According to The Netflix Tech Blog, 75% of what people watch on Netflix is from an algorithm-generated recommendation.

We’re seeing similar applications with AI-based content marketing technologies, but the concept of machine-based marketing activities is still very new and oftentimes vague to even some of the most established marketing teams. While “AI” might seem like a buzzword, the smartest organizations are paying attention to how this technology can dramatically enhance the content marketing function.

If you’re eager to learn more about AI, machine learning and how intelligent technology is impacting content marketing, below is a brief FAQ with some top questions we get on the topic along with links to some must-read resources for a deeper dive into artificial intelligence.

What’s the difference between AI and machine learning?
Artificial intelligence is a broad field that covers many different applications and technologies, including machine learning, deep learning and natural language processing. Machine learning is just one type of AI that provides computers with the ability to learn without having to be programmed. Essentially, machine learning gives computers the ability to apply specific algorithms so they can teach themselves how to process new data.

How are machine learning and AI being used by content marketers…

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