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AI and Large Language Models (LLMs) are profoundly impacting business today by enabling widespread automation, driving data-informed decision-making, and revolutionizing customer experiences, leading to significant increases in efficiency, productivity, and cost savings.
Top companies are advancing by AI to create personalized experiences, boost efficiency, and gain a competitive advantage in their fields.
As these tools continue to develop, their impact on operational effectiveness will only increase.
Three primary categorizes of Artificial intelligence (AI)
Capabilities, Functionality, and Technological
Capability classification describes the scope of tasks an AI can perform compared to human intelligence.
Machine Learning
Machine Intelligence
Machine Conscience
Artifical Narrow Intelligence
ANI
Also known as "Weak AI," it is designed for a single specific task, such as facial recognition, weather forecasting, or chess. All existing AI systems, including ChatGPT and Tesla Autopilot, are narrow AI.
Artifical General Intelligence
AGI
Often called "Strong AI," this refers to a theoretical system that can learn, understand, and apply intelligence across any domain as well as a human can.
Artifical Super Intelligence
ASI
A hypothetical future where AI surpasses human intelligence in all aspects, including creativity, social skills, and scientific research.
Classification by Functionality
Reactive Machines
The most basic type. They do not store memories or use past experiences to make decisions. Example: IBM’s Deep Blue.
Theory of Mind
A theoretical type that would understand human emotions, beliefs, and intentions to interact socially.
Limited Memory
These systems can store some past data to inform future decisions. Most modern AI, like self-driving cars that monitor the speed of other vehicles over time, falls here.
Self-Aware AI
Machines with their own consciousness, desires, and sense of self. This is currently speculative.
Business & Technological Classification
Generative AI
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Analyzes historical data to forecast future outcomes, such as stock trends or equipment failure.
Predictive AI
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Creates original content (text, images, code) by learning patterns from massive datasets.
Agentic AI
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AI "agents" can plan and execute multi-step tasks autonomously with minimal human oversight.
Multimodal AI
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Systems that can process and generate different types of data (text, video, and audio) simultaneously.