Unlock the Seven Types of Artificial Intelligence You Should Know!
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- jaro education
- 26, September 2024
- 12:00 am
AI is here to stay. The different types of Artificial Intelligence are not just a distant part of future business operations, but very much amalgamated into the present state of businesses. According to global business insights, the market for AI grew from USD 50 billion in 2023 to an exponential USD 184 billion in 2024. By 2030, it is expected to be at USD 826 billion. It has now become impossible to ignore. In fact, knowing how to navigate these types of Artificial Intelligence best will put your business ahead of the competition.
Types of Artificial Intelligence: Purpose, Use Cases and More
Our understanding of Artificial Intelligence has evolved over the years, and data scientists are still at work to explore its scope. The study and implementation of the different types of Artificial Intelligence can be complex to understand. However, to understand its value, let’s take a look at its scope.
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The types of Artificial Intelligence tools in businesses offer transformative potential in the decision-making process, with the goal of improving customer-centricity and long-term growth.
- Automation: The 7 types of artificial intelligence all help in one way or another to manage repetitive tasks. With Robotic Process Automation (RPA), AI frees up time spent here for big picture activities. Your team can focus on strategizing product design, marketing, sales and overall growth. For example, with the best AI chatbots, customer service agents can focus only on the bigger issues while leaving the easy ones to automated responses.
- Data-Driven Decisions: AI helps gather, organize, analyze and interpret large amounts of data about the market, competitors and customers. Using predictive analytics models, you can understand the data and make informed decisions. For example, a retail e-commerce site uses different types of Artificial Intelligence to predict customer demands based on past trends and adjust supply accordingly.
- Operational Efficiency: AI can optimize workflow by understanding available resources and allocating them in the most efficient way. For example, AI can keep tabs on a machine’s working capabilities, warning the operator about maintenance before complete failure. This saves time.
- Personalization: The different types of Artificial Intelligence help analyze customer preferences and behavior. This way, businesses can deliver personalized services based on what customers want. Streaming platforms use recommendation algorithms to suggest content based on user history. This increases satisfaction.
- Increased Security: AI can identify cybersecurity threats in real-time, keeping business integrity intact. For example, financial companies use types of Artificial Intelligence to identify fraud and scams.
What are the 7 Types of Artificial Intelligence?
The seven types of Intelligence in AI can be categorized in a broad spectrum. From functionality and technology to degree of capability, this spectrum goes from basic types of Artificial Intelligence to highly advanced. Let’s dive deep into these 7 types of Artificial Intelligence and how they are used by various industries.
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Category: Functional Types of Artificial Intelligence
The seven types of artificial intelligence can be distinguished based on their uses and how they fit into organizational operations. Here’s how:
1. Reactive Machines
Reactive AI is a type of Artificial Intelligence that focuses on immediate responses. Here, past experiences or the idea of “memory” do not come into play. These systems can only perform limited and specific tasks but lack the ability to understand complex context or predict the future.
For example, Spotify uses reactive AI models to understand what the user is currently listening to (music, podcasts, books) and provide recommendations based on that. If the current listening style starts off with Bollywood, then this type of Artificial Intelligence will recommend more Bollywood playlists. But if the user switches over to another genre, like alt-pop, the immediate recommendations will also change to alt-pop playlists, with no memory of previous listening patterns. While Spotify is improving its reactive AI model, this is a great example.
2. Limited Memory
One of the seven types of intelligence is Limited Memory. This type of Artificial Intelligence can look at past data to make informed decisions and create a short-term memory that does not get retained indefinitely. This means that these Machine Learning models analyze patterns to make decisions, but they also require continuous training and data to learn and improve.
For example, generative AI tools like ChatGPT and conversational AI tools like Alexa and Siri are all different types of Artificial Intelligence in the Limited Memory category. The former relies on limited memory and data to predict the solution to a question or problem. The latter combines Natural Language Processing (NLP) and Limited Memory AI to understand questions and provide answers, links or media in response.
3. Theory of Mind
This type of Artificial Intelligence provides space for the potential of AI tools to be more advanced, designed to understand human emotions, thoughts and interactions. The Theory of Mind is one of the 7 types of intelligence that works towards AI responses based on user emotions and intentions.
For example, platforms that are customer-centric are exploring the Theory of Mind AI tool to improve interactions. For example, if a health app can detect signs of anxiety in a person’s voice while asking for help, it can immediately offer ways to regulate breathing and emotions and calm the person. It can also know when to call an emergency ambulance or the medics. This type of Artificial Intelligence is a work in progress and is largely in the experimental and developmental phases. The end goal is to make AI more intuitive, empathetic and interactive.
4. Self-Aware AI
This is a hypothetical type of Artificial Intelligence that data scientists look at as the ultimate end goal for AI. Here, AI would have human-like attributes such as consciousness, emotions and perception. There are, however, complex ethical and technical challenges involved in this type, making it currently only a future possibility. It is currently a futuristic AI model in the 7 types of intelligence conversation.
While there are no self-aware AI use cases or models yet, steps have been taken to humanize AI models, especially generative and conversational ones like Alexa or Siri. Media also shows hypothetical scenarios where AI becomes sentient like in the movie Her. With the right ethical, legal and technical frameworks in place, the development of self-aware AI is definitely possible in the future. For now, we only have AI models that offer interactions and companionship.
Category 2: Capabilities of the Types of Artificial Intelligence
AI can also be categorized based on the extent of its capabilities. Here are the three main types based on its capabilities:
5. Narrow AI
This type of Artificial Intelligence is also known as “weak AI” because it is designed only to do the task in front of it without possessing any general intelligence. It can excel in particular areas but lacks the malleability to look beyond the task assigned to it. It works based on predefined functions.
For example, voice assistants like Siri are considered narrow AI systems. They follow a set of instructions with predefined commands. They switch on to one command (“Hey Siri!”) and answer basic questions like playing music or a video, setting reminders, etc., but do not do much outside these functions. Another example would be the types of Artificial Intelligence tools in the healthcare space. MRI machines use AI tools to do specific tasks such as detecting abnormalities early, assisting doctors by highlighting areas of concern and so on.
6. General AI
This type of Artificial Intelligence is also called Strong AI and is what data scientists and tech supergiants are working towards. Hypothetically, this is one of the 7 types of intelligence that would possess human-level understanding and reasoning, with complex problem-solving abilities. General AI would also take situational context into account and adapt its course of action. While there are no specific use cases for this type of Artificial Intelligence, general AI would do the role of an office worker, managing multiple tasks and processing diverse roles.
7. Super AI
A type of Artificial Intelligence that would surpass human capabilities is not out of the question now. Future predictions all seem to suggest that a super AI would potentially change every industry with its ability to outperform humans in every field. However, for this to occur, strict governmental laws, ethical considerations and human autonomy needs to be established. That’s because any breakthroughs in this type of technology can lead to exponential consequences.
Other Types of Artificial Intelligence Based on Technology
Apart from the seven types of intelligence, there are AI classifications also based on technology. This includes:
1. Machine Learning
AI and ML are terms often used together because Machine Learning enables AI to process and interpret patterns in data. It equips AI to become more and more accurate with continuous data interpretation and lesser human intervention. For example, ML and this type of Artificial Intelligence can be vital in predictions in the stock market based on past data.
2. Deep Learning
Going one step further from Machine learning, this type of Artificial Intelligence uses neural networks to process huge chunks of data for more complex pattern recognition. This could include financial risk assessments and stock predictions at a grander level.
3. Natural Language Processing
NLP technology enables AI to understand and generate language, so any generative AI examples all work seamlessly with this technology. Chatbots, ChatGPT, Gemini, etc., are perfect use cases.
4. Computer Vision
This type of Artificial Intelligence uses visual cues, processes them and provides accurate information and predictions. For example, facial recognition technology could use computer vision and AI to read complex data and keep security intact.
*getronics.com
| Distinction | Type of Artificial Intelligence | Table DefinitionHeader | Example |
|---|---|---|---|
| Functionality | Reactive AI | Focuses on immediate responses without considering past memory and data | Self Aware |
| Limited Memory | Focuses on responses considering short term memory and data for decisions | Generative AI tools like ChatGPT, Gemini | |
| Theory of Mind | Hypothetical type where AI becomes human-like in processing information | Hypothetical type where AI becomes human-like in processing information | |
| Self Aware | Hypothetical type of Artificial Intelligence that is sentient | ||
| Technologies | Machine Learning | AI uses Machine Learning to understand complex data and reduce human dependency | Stock market predictions with past data |
| Deep Learning | Using neural networks to enable deep information processing | Used for large-scale financial risk assessment | |
| NLP | Helping AI understand language | Any generative or communicative AI | |
| Computer Vision | Using visual information for data interpretation | Security tools like facial recognition |
Become an AI Expert with Jaro Education
Learning the 7 types of Artificial Intelligence is the need of the hour for anyone in the computer, tech or data industry. Understanding how to improve its accuracy, predictions and decision-making abilities can give you the much-needed career boost.
Jaro Education has exclusive collaborations with the best tech schools in the country like top IITs and IIMs to offer online certification courses on AI and ML. Apply through our portal and gain access to the country’s top universities as well as our career guidance services. We work with market data to understand what kinds of AI courses professionals need and partner with universities to bring them to you. Learn more here.
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| IIM Indore | Executive Programme in MarkTech and AI-Driven Marketing |
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Final Thoughts
The seven types of artificial intelligence are continuously learning and adapting with improved technology to become better and more accurate every day. Continuous efforts to learn and grow with it can put both professionals and organizations ahead of the curve.
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