{"id":15725,"date":"2025-07-24T10:10:54","date_gmt":"2025-07-24T10:10:54","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=15725"},"modified":"2025-07-24T10:16:42","modified_gmt":"2025-07-24T10:16:42","slug":"types-of-ai","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/in\/blog\/types-of-ai\/","title":{"rendered":"What are the different types of AI?"},"content":{"rendered":"\n<p>From voice assistants and chatbots to generative tools and intelligent agents, businesses and consumers alike are interacting with different types of AI every day. Indian enterprises, in particular, are exploring multiple forms\u2014predictive, <a href=\"https:\/\/www.salesforce.com\/in\/artificial-intelligence\/what-is-generative-ai\/\">generative<\/a>, assistive and <a href=\"https:\/\/www.salesforce.com\/in\/agentforce\/\">agentic <\/a>\u2014to personalise experiences, boost productivity, and make every customer interaction more meaningful.<\/p>\n\n\n\n<p>But not all types of AI are created equal. Some follow predefined rules. Others learn from data, adapt to new scenarios, and even replicate human-like creativity. As the adoption of AI accelerates\u2014set to reach <a href=\"https:\/\/www.statista.com\/forecasts\/1449844\/ai-tool-users-worldwide\">1.2 billion<\/a> users by 2031\u2014it becomes essential to understand what sets these systems apart.<\/p>\n\n\n\n<p>In this guide, we break down the types of AI \u2014 by capability, function, and the technologies that power them to help you navigate this fast-moving field and choose the right tools for your needs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-table-of-contents\">Table of contents<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong><a href=\"#h-what-is-artificial-intelligence\">What is Artificial Intelligence?<\/a><\/strong><\/li>\n\n\n\n<li><strong><a href=\"#h-the-3-major-types-of-ai-based-on-capabilities\">The 3 Major Types of AI (By Capability)<\/a><\/strong><\/li>\n\n\n\n<li><strong><a href=\"#h-classifying-ai-by-function-4-key-models\">Classifying AI by function: 4 key models<\/a><\/strong>\n<ul class=\"wp-block-list\">\n<li>Reactive Machines<\/li>\n\n\n\n<li>Limited Memory<\/li>\n\n\n\n<li>Theory of Mind<\/li>\n\n\n\n<li>Self-Aware AI<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong><a href=\"#h-types-of-ai-technologies-driving-innovation\">Core Technologies Powering AI Systems<\/a><\/strong>\n<ul class=\"wp-block-list\">\n<li>Machine Learning (ML)<\/li>\n\n\n\n<li>Deep Learning<\/li>\n\n\n\n<li>Natural Language Processing (NLP)<\/li>\n\n\n\n<li>Robotics<\/li>\n\n\n\n<li>Computer Vision<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong><a href=\"#h-how-different-types-of-ai-impact-businesses\">How different types of AI impact businesses<\/a><\/strong><\/li>\n\n\n\n<li><strong><a href=\"#h-frequently-asked-questions-faqs\">Frequently Asked Questions (FAQs)<\/a><\/strong><\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-is-artificial-intelligence\">What is Artificial Intelligence?<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.salesforce.com\/in\/artificial-intelligence\/what-is-ai\/\">Artificial intelligence<\/a> is the ability of machines to perform tasks that typically require human intelligence. That includes learning from data, understanding language, recognising patterns, making decisions, and solving problems.<\/p>\n\n\n\n<p>At its core, AI is not a single mechanism, but a combination of multiple technologies, which include machine learning (ML), natural language processing (NLP), computer vision, robotics, and more. These systems can be data-driven or rule-based, and can operate with or without human supervision.<\/p>\n\n\n\n<p>At Salesforce, we define AI as the ability to make machines smart so that they can support\u2014not replace\u2014human effort. For us, intelligence means more than speed; it means systems that adapt, converse, and understand context. That\u2019s why we design AI to work with people, not around them. Whether it\u2019s handling repetitive tasks or unlocking insights at scale, our approach puts humans in charge\u2014steering outcomes, applying judgment, and ultimately shaping experiences that drive customer success.<\/p>\n\n\n\n<div class=\"layout-one wp-block-salesforce-blog-offer\">\n\t<div class=\"wp-block-offer__wrapper\">\n\n\t\t<div class=\"wp-block-offer__content\">\n\t\t\t<h2 class=\"wp-block-offer__title\"><strong>Trusted AI needs a human at the helm.<\/strong><\/h2>\n\t\t\t\t\t\t\t<p class=\"wp-block-offer__description\"><strong>Read all about how we put this into practice.<\/strong><\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t<div class=\"wp-block-button\">\n\t\t\t\t\t<a class=\"wp-block-button__link\" target=\"_blank\" href=\"https:\/\/www.salesforce.com\/in\/news\/stories\/human-at-the-helm\/\">Read more<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t<div class=\"wp-block-offer__media\">\n\t\t\t\t\t<\/div>\n\t<\/div>\n\n\t\t\t<div class=\"wp-block-offer__graphics wp-block-offer__contour\"><\/div>\n\t\n\t\t\t<!-- Standard Illustration -->\n\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__illustration\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-illustration-layout-one.png\" alt=\"\">\n\n\t\t<!-- Small Accent Illustration -->\n\t\t\t\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__accent\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-accent-layout-one.png\" alt=\"\">\n\t\t\n\t\t<!-- Left Side Illustration -->\n\t\t\n\t\t<!-- Cloud Illustration -->\n\t\t\t\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__cloud\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-cloud-layout-one.png\" alt=\"\">\n\t\t\n\t<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-the-3-major-types-of-ai-based-on-capabilities\">The 3 major types of AI based on capabilities<\/h2>\n\n\n\n<p>One of the most common ways to categorise AI is by capability. Essentially, we can measure how intelligent or autonomous an AI system is by comparing its ability to accomplish specific tasks.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d6a7c61508f&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d6a7c61508f\" class=\"wp-block-image size-large wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" height=\"576\" width=\"1024\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table01.png?w=1024\" alt=\"Types of AI technologies that are powering AI systems in 2025\" class=\"wp-image-15729\" srcset=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table01.png 1500w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table01.png?w=300&amp;h=169 300w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table01.png?w=768&amp;h=432 768w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table01.png?w=1024&amp;h=576 1024w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table01.png?w=150&amp;h=84 150w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-narrow-ai-weak-ai\"><strong>Narrow AI (Weak AI)<\/strong><\/h3>\n\n\n\n<p>Most of the AI systems we use in our day-to-day lives fall under this category. Narrow AI systems are designed to accomplish a specific set of tasks, and their capabilities are restricted to what they are trained to do.<\/p>\n\n\n\n<p>Examples of narrow AI systems include<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.salesforce.com\/service\/call-center-integration\/voice-ai-agent\/\">Voice assistants<\/a>, like Google Assistant and Siri<\/li>\n\n\n\n<li><a href=\"https:\/\/www.salesforce.com\/in\/artificial-intelligence\/what-is-generative-ai\/\">Generative AI<\/a> platforms<\/li>\n\n\n\n<li><a href=\"https:\/\/www.salesforce.com\/in\/agentforce\/chatbot\/\">Chatbots<\/a> and virtual agents<\/li>\n\n\n\n<li>Email spam filters<\/li>\n\n\n\n<li>Recommendation engines on OTT platforms, etc.<\/li>\n<\/ul>\n\n\n\n<p>Narrow AI systems can be incredibly powerful for the tasks they are designed to accomplish. Their strength lies in completing their specific tasks quickly and precisely, making them ideal for single-case scenarios.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-if-you-re-wondering-why-generative-ai-platforms-are-categorised-as-weak-it-is-because-the-ai-model-is-limited-to-a-single-task-in-a-primarily-text-based-chat\"><strong>If you\u2019re wondering why generative AI platforms are categorised as \u201cweak\u201d, it is because the AI model is limited to a single task in a primarily text-based chat.<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-general-ai-strong-ai-agi\"><strong>General AI (Strong AI\/AGI)<\/strong><\/h3>\n\n\n\n<p>A step up from narrow AI systems, <a href=\"https:\/\/www.salesforce.com\/in\/news\/stories\/what-is-artificial-general-intelligence\/\">general AI<\/a> can perform any task that a human can. These types of AI systems have the ability to understand context, learn from minimal input, reason, and adapt to new situations without the need to be reprogrammed.<\/p>\n\n\n\n<p>As of 2025, a strong AI system only exists theoretically, with significant ongoing work to create AGI systems. Yoshua Bengio (Mila), Demis Hassabis (DeepMind), and Ian Goodfellow (Apple) are some of the most <a href=\"https:\/\/medium.com\/@profitfromai\/discover-who-is-the-best-ai-researchers-working-today-cdfe10d610fd\">prominent people<\/a> working in AI research, pushing the boundary of deep learning, neural networks, and advanced machine learning techniques.<\/p>\n\n\n\n<p>Additionally, several <a href=\"https:\/\/www.startus-insights.com\/innovators-guide\/agi-startups\/\">startups are working to developing AGI systems<\/a>. These include Xephor Solutions (quantum neural networks for human-like tasks), GoodAI (AGI software), Avatar Cognition (synthetic cognition), Aleph Alpha (augmented intelligence), and SingularityNET (decentralized AI networks).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-superintelligent-ai-asi\"><strong>Superintelligent AI (ASI)<\/strong><\/h3>\n\n\n\n<p>A concept for the distant future, superintelligent AI is one of the most advanced types of agent AI. These systems will not only replicate but surpass human intelligence, excelling in logic, creativity, problem-solving, emotional intelligence, and everything else.<\/p>\n\n\n\n<p>Currently, this type of AI is more of a subject of ethical, philosophical, technical, and safety discussions than development. Here are some of the key challenges in developing ASI models :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Energy demands:<\/strong> Unlike the human brain, which functions at a measly 20 watts, current silicon-based computers are about 2.7\u00d710^13 times less efficient. The development of ASI agents is highly dependent on radical advancements in computing technology.<\/li>\n\n\n\n<li><strong>Common-sense reasoning gaps:<\/strong> Even the most advanced AI systems currently struggle with common-sense reasoning gaps, such as understanding implicit context and making connections between facts that are trivial to humans but not explicitly stated in data. This problem emerges from AI\u2019s reliance on pattern recognition rather than a genuine understanding of the world.<\/li>\n\n\n\n<li><strong>Alignment and safety risks:<\/strong> Safeguards should be in place against harmful or misaligned objectives. Deep learning models often use a black box method, making it difficult to predict or control their behaviour.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Computational theory barriers:<\/strong> There are inherent theoretical limits to what can be computed (such as NP-hard problems), and some questions are undecidable (such as the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Halting_problem#:~:text=The%20halting%20problem%20is%20a,of%20storage%20space%20before%20halting.\">Halting Problem<\/a>). Additionally, AI cannot generalise knowledge across domains as easily as humans do.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-classifying-ai-by-function-4-key-models\">Classifying AI by function: 4 key models<\/h2>\n\n\n\n<p>Another method of classifying different types of AI is by taking a look at how the AI functions, i.e., what it does with the inputs fed into the system and how much awareness it has of the domain. There are primarily four categories that show the functional depth of AI systems.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Reactive machines<\/strong>&nbsp;<\/li>\n<\/ol>\n\n\n\n<p>Reactive machines are the most basic AI models, which, as the name suggests, react to inputs with pre-programmed responses. However, they do not store memory or learn from previous actions.<\/p>\n\n\n\n<p>Example: One of the most famous reactive machines is IBM\u2019s Deep Blue chess engine, which fought and won against then world champion Grandmaster Gary Kasparov in 1997. Deep Blue analysed moves in real time, but did not learn from previous games.<\/p>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Limited memory<\/strong><\/li>\n<\/ol>\n\n\n\n<p>Most AI systems we use today fall under this category. These machines can reference short-term data from previous interactions to make decisions.<\/p>\n\n\n\n<p>Examples: <a href=\"https:\/\/www.salesforce.com\/in\/service\/customer-service-chatbot\/chatbot-best-practices\/\">Chatbots <\/a>that retain context from one chat during one session, and self-driving cars that use sensor data and recent movement history. The most prominent use of limited memory AI systems is Generative AI, such as ChatGPT and Claude, which use memory contexts to predict the next word, phrase, or image within the content it is generating.<br><br>An example of Limited Memory systems is SharkNinja\u2019s use of Agentforce to deliver real-time, personalised service at scale\u2014using current and historical consumer data to generate instant answers, while still preserving the flexibility to escalate complex issues to human agents. Read more about it <a href=\"https:\/\/www.salesforce.com\/customer-stories\/sharkninja\/\">here<\/a>.<\/p>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li><strong>Theory of mind<\/strong><\/li>\n<\/ol>\n\n\n\n<p>This is an emerging field of artificial intelligence that aims to understand the emotions, beliefs, and intentions behind conversations. The theory of mind is named after the psychological concept, which refers to humans\u2019 ability to attribute mental states to others.<\/p>\n\n\n\n<p>While no fully functional model has been developed yet, AI with the theory of mind could collaborate better with humans and improve daily operations.<\/p>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>Self-aware AI<\/strong><\/li>\n<\/ol>\n\n\n\n<p>The most advanced systems on this scale, self-aware AI will have consciousness and a sense of self, which will allow it to understand not only human emotions but also its role and impact.<\/p>\n\n\n\n<p>Self-aware AI systems are still in the realm of science fiction and a constant area of technological and ethical debate.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-types-of-ai-technologies-driving-innovation\">Types of AI technologies driving innovation<\/h2>\n\n\n\n<p>Behind every functional capability of AI systems lies a technology that powers it. These core technologies define how AI systems learn, adapt, reason, interact, and improve. Here\u2019s a breakdown of the most important technologies powering AI systems in 2025.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d6a7c617668&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d6a7c617668\" class=\"wp-block-image size-large wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" height=\"576\" width=\"1024\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table02.png?w=1024\" alt=\"The diagram explaining the three stages of AI\" class=\"wp-image-15731\" srcset=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table02.png 1500w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table02.png?w=300&amp;h=169 300w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table02.png?w=768&amp;h=432 768w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table02.png?w=1024&amp;h=576 1024w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table02.png?w=150&amp;h=84 150w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-machine-learning-ml\"><strong>Machine learning (ML)<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.salesforce.com\/in\/artificial-intelligence\/what-is-machine-learning\/\">Machine learning<\/a> is the backbone of modern AI systems. ML enables these systems to learn from a wide set of data without the need for explicit programming. For AI systems, ML primarily consists of the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Supervised learning:<\/strong> Models that are trained on labelled data, such as spam filtering, etc.<\/li>\n\n\n\n<li><strong>Unsupervised learning:<\/strong> Models that find patterns in unlabelled data, such as customer segmenting protocols in CRMs.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Reinforced learning:<\/strong> AI agents that learn by the trial-and-error method to maximise rewards, such as AI games.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-deep-learning\"><strong>Deep learning<\/strong><\/h3>\n\n\n\n<p>Deep learning is a subset of machine learning that focuses on using neural networks to mimic the way human brains process information. The \u201cdeep\u201d in deep learning comes from the structure of the underlying neural network architecture. Unlike traditional machine learning, deep learning models use three or more (typically hundreds of) neural computational layers.<\/p>\n\n\n\n<p>Due to the unique architecture, deep learning models can use unsupervised learning to analyse outputs and even rectify responses. It can extract the characteristics and features of input data to establish relationships, making responses more accurate.<\/p>\n\n\n\n<p>Deep learning is an aspect of data science and powers several features, such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Image recognition and creation<\/li>\n\n\n\n<li>Language translation<\/li>\n\n\n\n<li>Voice-enabled tech, e.g., remotes<\/li>\n\n\n\n<li>Credit card fraud detection<\/li>\n\n\n\n<li>Self-driving cars<\/li>\n\n\n\n<li>Generative AI, etc.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-natural-language-processing-nlp\"><strong>Natural language processing (NLP)<\/strong><\/h3>\n\n\n\n<p>NLP is a field of AI that enables machines to understand, interpret, generate, and respond to human language. It does so by combining computational linguistics and rule-based modelling of human language with statistical modelling, machine learning, and deep learning.<\/p>\n\n\n\n<p>NLP makes it easier for humans and machines to collaborate, driving several technologies like:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Automation of repetitive tasks<\/li>\n\n\n\n<li>Chatbots and virtual assistants<\/li>\n\n\n\n<li>Sentiment analysis<\/li>\n\n\n\n<li>Enhanced search in search engines<\/li>\n\n\n\n<li>Language models, e.g., ChatGPT, etc.<\/li>\n<\/ul>\n\n\n\n<div class=\"layout-one wp-block-salesforce-blog-offer\">\n\t<div class=\"wp-block-offer__wrapper\">\n\n\t\t<div class=\"wp-block-offer__content\">\n\t\t\t<h2 class=\"wp-block-offer__title\"><strong>Learn more about Natural language processing (NLP)<\/strong><\/h2>\n\t\t\t\t\t\t\t<p class=\"wp-block-offer__description\"><\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t<div class=\"wp-block-button\">\n\t\t\t\t\t<a class=\"wp-block-button__link\" target=\"_blank\" href=\"https:\/\/www.salesforce.com\/in\/artificial-intelligence\/nlp\/\">Learn more<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t<div class=\"wp-block-offer__media\">\n\t\t\t\t\t<\/div>\n\t<\/div>\n\n\t\t\t<div class=\"wp-block-offer__graphics wp-block-offer__contour\"><\/div>\n\t\n\t\t\t<!-- Standard Illustration -->\n\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__illustration\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-illustration-layout-one.png\" alt=\"\">\n\n\t\t<!-- Small Accent Illustration -->\n\t\t\t\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__accent\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-accent-layout-one.png\" alt=\"\">\n\t\t\n\t\t<!-- Left Side Illustration -->\n\t\t\n\t\t<!-- Cloud Illustration -->\n\t\t\t\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__cloud\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-cloud-layout-one.png\" alt=\"\">\n\t\t\n\t<\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-robotics\"><strong>Robotics<\/strong><\/h3>\n\n\n\n<p>Robotics is the physical application of artificial intelligence, deploying Narrow AI along with sensors and actuators to accomplish routine and repetitive tasks. In this context, robotics involves deploying AI principles into machines to create intelligent and capable robots.<\/p>\n\n\n\n<p>Robotics with Narrow AI powers multiple industries. For instance, in healthcare, robots assist surgeons by monitoring vital patient stats and detecting potential issues during routine procedures. In agriculture, machines can help with pruning, moving, thinning, seeding, and spraying. In smart homes, smart cleaners can use computer vision and the stored floor plans to clean rooms at regular intervals.<\/p>\n\n\n\n<div class=\"layout-twelve wp-block-salesforce-blog-offer\">\n\t<div class=\"wp-block-offer__wrapper\">\n\n\t\t<div class=\"wp-block-offer__content\">\n\t\t\t<h2 class=\"wp-block-offer__title\"><strong>Learn more about how real-world robotics is augmenting human work in high-stakes environments<\/strong><\/h2>\n\t\t\t\t\t\t\t<p class=\"wp-block-offer__description\"><\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t<div class=\"wp-block-button\">\n\t\t\t\t\t<a class=\"wp-block-button__link\" target=\"_blank\" href=\"https:\/\/www.salesforce.com\/blog\/the-convergence-of-digital-and-physical-ai\/\">Learn more<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t<div class=\"wp-block-offer__media\">\n\t\t\t\t\t<\/div>\n\t<\/div>\n\n\t\t\t<div class=\"wp-block-offer__graphics wp-block-offer__contour\"><\/div>\n\t\n\t\t\t<!-- Standard Illustration -->\n\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__illustration\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-illustration-layout-twelve.png\" alt=\"\">\n\n\t\t<!-- Small Accent Illustration -->\n\t\t\n\t\t<!-- Left Side Illustration -->\n\t\t\n\t\t<!-- Cloud Illustration -->\n\t\t\n\t<\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-computer-vision\"><strong>Computer vision<\/strong><\/h3>\n\n\n\n<p>Computer vision enables machines to \u2018see\u2019 the real world, unlocking an additional source of input for modern machines. Narrow AI apps can be trained to understand and interpret objects using images and videos, and classify them according to parameters set in pre-existing data.<\/p>\n\n\n\n<p>Computer vision AI models are critical for machines that react to the physical world. Applications include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Smart home robots, such as cleaners<\/li>\n\n\n\n<li>Facial recognition technology<\/li>\n\n\n\n<li>Visual search<\/li>\n\n\n\n<li>Object tracking<\/li>\n\n\n\n<li>Image retrieval, etc.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-expert-systems\"><strong>Expert systems<\/strong><\/h3>\n\n\n\n<p>Rule-based expert systems are AI tech that use logical inference to mimic the way humans make decisions. By using a knowledge base of facts, rules, and relationships, along with an \u201cinference engine\u201d, expert systems can apply logical reasoning and explain outcomes from large datasets.<\/p>\n\n\n\n<p>These systems are used in industries where we need to draw conclusions from data sets, such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Loan approvals<\/li>\n\n\n\n<li>Medical diagnosis<\/li>\n\n\n\n<li>Technical troubleshooting, etc.<\/li>\n<\/ul>\n\n\n\n<p>Each of the technologies mentioned above shape the different types of AI systems that we see in our daily lives, whether it&#8217;s customer service bots, automated workflows, or generating insights from massive datasets. Some tech companies combine a few of these to increase the output and overall capabilities.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d6a7c619c3a&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d6a7c619c3a\" class=\"wp-block-image size-large wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" height=\"576\" width=\"1024\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table03.png?w=1024\" alt=\"Real-world use cases by industry for Artificial Intelligence\" class=\"wp-image-15735\" srcset=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table03.png 1500w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table03.png?w=300&amp;h=169 300w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table03.png?w=768&amp;h=432 768w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table03.png?w=1024&amp;h=576 1024w, https:\/\/www.salesforce.com\/in\/blog\/wp-content\/uploads\/sites\/9\/2025\/07\/ArtificialIntelligence_Table03.png?w=150&amp;h=84 150w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<p>Let\u2019s take a look at how different types of AI impact businesses in the real world.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-different-types-of-ai-impact-businesses\">How different types of AI impact businesses<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Narrow AI &#8211; building systems for efficiency<\/strong><\/li>\n<\/ul>\n\n\n\n<p>Narrow AI systems are excellent at automating repetitive tasks, making them perfect for sales predictions, content recommendations, and customer service chatbots.<\/p>\n\n\n\n<p>In Salesforce, <a href=\"https:\/\/www.salesforce.com\/in\/artificial-intelligence\/\">Einstein AI<\/a>, which is embedded across the Salesforce ecosystem, uses narrow AI models to recommend the next best actions, personalise product offers, and auto-prioritise leads, all within your CRM.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>NLP, vision, and ML<\/strong><\/li>\n<\/ul>\n\n\n\n<p>When you combine NLP with machine learning, AI can do more than automate\u2014it can understand. By pairing these two technologies, businesses can analyse sentiments in data, summarise conversations, and generate responses in real time.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.salesforce.com\/in\/artificial-intelligence\/einstein-ai-assistant\/\">Einstein Copilot<\/a> and <a href=\"https:\/\/www.salesforce.com\/in\/news\/press-releases\/2023\/03\/07\/einstein-generative-ai\/\">EinsteinGPT<\/a> use natural language processing to help agents answer queries, streamline email replies, and boost productivity, all while ensuring data security through the Einstein Trust Layer.<\/p>\n\n\n\n<div class=\"layout-one wp-block-salesforce-blog-offer\">\n\t<div class=\"wp-block-offer__wrapper\">\n\n\t\t<div class=\"wp-block-offer__content\">\n\t\t\t<h2 class=\"wp-block-offer__title\"><strong>Formula 1 tapped into this AI-first approach to cut service response times by 80%<\/strong><\/h2>\n\t\t\t\t\t\t\t<p class=\"wp-block-offer__description\">Explore the full story.<\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t<div class=\"wp-block-button\">\n\t\t\t\t\t<a class=\"wp-block-button__link\" target=\"_blank\" href=\"https:\/\/www.salesforce.com\/customer-stories\/formula-one\/\">Read full story<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t<div class=\"wp-block-offer__media\">\n\t\t\t\t\t<\/div>\n\t<\/div>\n\n\t\t\t<div class=\"wp-block-offer__graphics wp-block-offer__contour\"><\/div>\n\t\n\t\t\t<!-- Standard Illustration -->\n\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__illustration\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-illustration-layout-one.png\" alt=\"\">\n\n\t\t<!-- Small Accent Illustration -->\n\t\t\t\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__accent\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-accent-layout-one.png\" alt=\"\">\n\t\t\n\t\t<!-- Left Side Illustration -->\n\t\t\n\t\t<!-- Cloud Illustration -->\n\t\t\t\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__cloud\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-cloud-layout-one.png\" alt=\"\">\n\t\t\n\t<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>General AI &#8211; long-term strategic potential<\/strong><\/li>\n<\/ul>\n\n\n\n<p>While not yet realised, general and superintelligent AI are the obvious next leap in AI technology. Consistent efforts are being made in responsible AI research, governance frameworks, and scalable architecture that prepare companies for what is coming next.<\/p>\n\n\n\n<p>As AI continues to shape the future of business and everyday life, understanding its types, functions, and underlying technologies isn\u2019t just interesting \u2014 it\u2019s essential. The more we grasp what these systems can (and can\u2019t) do, the better we can use them to solve real-world problems, responsibly and effectively.<\/p>\n\n\n\n<div class=\"layout-twelve wp-block-salesforce-blog-offer\">\n\t<div class=\"wp-block-offer__wrapper\">\n\n\t\t<div class=\"wp-block-offer__content\">\n\t\t\t<h2 class=\"wp-block-offer__title\"><strong>The next-gen agentic AI that combines automation with a human touch<\/strong><\/h2>\n\t\t\t\t\t\t\t<p class=\"wp-block-offer__description\">Explore the future of AI-enabled intelligent service with Agentforce<\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t<div class=\"wp-block-button\">\n\t\t\t\t\t<a class=\"wp-block-button__link\" target=\"_blank\" href=\"https:\/\/www.salesforce.com\/in\/agentforce\/\">Explore now<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t<div class=\"wp-block-offer__media\">\n\t\t\t\t\t<\/div>\n\t<\/div>\n\n\t\t\t<div class=\"wp-block-offer__graphics wp-block-offer__contour\"><\/div>\n\t\n\t\t\t<!-- Standard Illustration -->\n\t\t<img decoding=\"async\" class=\"wp-block-offer__graphics wp-block-offer__illustration\" src=\"https:\/\/www.salesforce.com\/in\/blog\/wp-content\/themes\/salesforce-blog\/dist\/images\/offer-block\/offer-illustration-layout-twelve.png\" alt=\"\">\n\n\t\t<!-- Small Accent Illustration -->\n\t\t\n\t\t<!-- Left Side Illustration -->\n\t\t\n\t\t<!-- Cloud Illustration -->\n\t\t\n\t<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-frequently-asked-questions-faqs\">Frequently Asked Questions (FAQs)<\/h2>\n\n\n<div class=\"accordion \">\n\t\n\n<button class=\"accordion-header\" type=\"button\">What is an AI model?<\/button>\n<div class=\"accordion-content\">\n\t\n\n<p>An AI model is a trained system that can perform specific tasks, such as recognising images, translating texts, or making predictions based on data.<\/p>\n\n<\/div>\n\n\n\n<button class=\"accordion-header\" type=\"button\">What are the different categories of AI?<\/button>\n<div class=\"accordion-content\">\n\t\n\n<p>AI is typically categorised based on capability, i.e., narrow, general, and superintelligent, or by function, i.e., reactive machines, limited memory, theory of mind, and self-aware.<\/p>\n\n<\/div>\n\n\n\n<button class=\"accordion-header\" type=\"button\">What types of AI are there in business applications?<\/button>\n<div class=\"accordion-content\">\n\t\n\n<p>Most businesses currently use narrow AI models, along with machine learning, NLP, and computer vision, to automate tasks, personalise customer experiences, and generate insights from datasets.<\/p>\n\n<\/div>\n\n\n\n<button class=\"accordion-header\" type=\"button\">What is narrow AI, and where is it used?<\/button>\n<div class=\"accordion-content\">\n\t\n\n<p>Narrow AI is purpose-built for specific tasks. It is used in chatbots, content recommendation systems, voice assistants, fraud detection systems, etc.<\/p>\n\n<\/div>\n\n\n\n<button class=\"accordion-header\" type=\"button\">What are the types of AI agents?<\/button>\n<div class=\"accordion-content\">\n\t\n\n<p>Agent-based AI systems can be reactive, proactive, or adaptive, depending on their functionality.<\/p>\n\n<\/div>\n\n<\/div> <!-- \/.accordion -->\n","protected":false},"excerpt":{"rendered":"<p>A practical guide to understanding the types of AI, their functions, and the technologies behind today\u2019s most powerful tools.<\/p>\n","protected":false},"author":736,"featured_media":15753,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sf_justforyou_enable_alt":true,"optimizely_content_id":"f41e6b1602ad468d856e8b392c63375e","post_meta_title":"","ai_synopsis":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"sf_topic":[556],"sf_content_type":[],"coauthors":[554],"class_list":["post-15725","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","sf_topic-artificial-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>What are the different types of AI? - Salesforce<\/title>\n<meta name=\"description\" content=\"Explore the different types of AI\u2014by capability, function, and technology. Learn how each type works, what sets them apart, and how they\u2019re shaping the future.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.salesforce.com\/in\/blog\/types-of-ai\/\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What are the different types of AI?\" \/>\n<meta property=\"og:description\" content=\"Explore the different types of AI\u2014by capability, function, and technology. 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