Generative AI for content creation
Generating marketing content, like social media posts, emails, blog posts or whitepapers, is one of the most obvious applications of AI-powered Natural Language Processing (NLP) tools. Even though this is a relatively new field in commercial AI, there are plenty of AI-powered content marketing engines that can help you create content fast.
One caveat, however: while content marketing is one of the biggest AI marketing trends in recent memory, it still has a lot of room for improvement and often requires a human editor to correct factual mistakes and incorporate a brand’s voice into the material.
Causal AI for improved decision-making
Causal AI differs from predictive AI through its ability to identify causation versus correlation. Predictive AI can observe an event and predict an outcome based on similar examples in the data it was trained on, whereas causal AI can identify the underlying cause of an event and its relationship to the eventual outcome.
This is a huge advancement and means that causal AI systems could help businesses make more successful decisions. Those decisions could, in turn, help drive marketing strategy and contribute towards achieving key marketing goals.
AI-enhanced visual content
NLP tools have revolutionized how businesses create written content. But AI is also applicable to visual content thanks to developments in diffusion. Already, tools like Bing AI have AI-powered image generation features that are freely available. And the underlying technology is only going to improve.
That means marketers in the near future could access tools that allow them to generate, edit and optimize visual content like images and videos for social media with a fraction of the effort it would have previously taken.
Natural language processing in customer support
The potential applications of AI in customer support are only just being touched on, and there’s plenty more to come. Already, AI chatbots are at the center of the conversation, thanks to their capability to quickly and effectively answer customer questions, 24/7.
But AI could also be used in other areas of customer support, including through automated helpdesk content generation and technical writing.