4 Types of Arificial Intelligence & What Marketers Are Using Most (Research)

You’ve likely heard how artificial intelligence can revolutionize the way marketers work. In fact, you may be using AI-powered tools right now.You’ve likely heard how artificial intelligence can revolutionize the way marketers work. In fact, you may be using AI-powered tools right now. But if you’re like me, you haven’t “pulled back the curtain” to see how this technology works — until now. Here, we’ll cover the four main types of artificial intelligence — reaction machines, limited memory, theory of mind, and self awareness — and how each type can power your marketing. How many types of AI are there? There are four main types of AI: reactive machines, limited memory, theory-of-mind, and self-aware. However, since AI can be categorized by function (the types listed above) and capabilities, you add three more to the mix: narrow intelligence (ANI), general intelligence (AGI), and superintelligence (SGI). Below we’ll explain each type. 4 Types of Artificial Intelligence Reactive Machines As the name suggests, reactive machines react and respond to different prompts. It does this without the use of memory or a broader understanding of the context. For example, this type of AI is commonly used in game design to create opponents. The opponent will respond to your actions, movements, or attacks in real time but is unaware of the game’s overall objective. On top of that, it stores no memories, so it doesn’t learn from past experiences and adjust its gameplay. Reactive AI powers a lot of marketing tools. A notable example is chatbots. These programs use reactive AI to respond to messages (or inputs) with the right information. (Image Source) Chatbots are a popular tool in customer service, but they can also boost the productivity of marketers. For instance, HubSpot’s ChatSpot is a handy AI-powered assistant that can pull reports, create contacts, and send follow-up emails based on certain commands. Beyond chatbots, reactive AI can analyze customer behavior, campaign performance, and market trends. With these insights, marketers can optimize their campaigns on the fly, improving their effectiveness and ROI. Limited Memory Limited memory AI is able to learn from a limited amount of data or feedback. However, it doesn’t “bank” any memories for extended periods of time. A great example of the ‘limited’ aspect of this AI is ChatGPT. It has a limit of 4000 tokens (forms of text like words) and can’t recall anything from a current conversation after that limit. So, if a conversation is 4097 tokens, ChatGPT responds based on the latest 97 tokens. This technology can be found in self-driving cars. It can detect lanes and map out the road ahead. It can also adjust the car’s speed and break in real time based on traffic patterns and road conditions. In marketing, limited memory AI can be used to analyze large amounts of data, helping marketers make smarter decisions about their strategies and tactics. It can also make predictions and recommendations based on this data. While limited memory algorithms are effective, they aren’t foolproof. They can make mistakes

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