AI Glossary
Augmented Reality (AR) & AI
AR & AI combines computer-generated content with real-world views, enhanced by AI that enables dynamic, intelligent, and personalised experiences.

Explanation
Imagine holding your phone up to a street and seeing virtual arrows appear on the pavement, guiding you to your destination. That's the magic of Augmented Reality (AR). Now, imagine that same AR system learning your preferences, adapting to real-time traffic conditions, and suggesting the quickest, most scenic route based on millions of data points. That's AR amplified by Artificial Intelligence (AI).
AR overlays digital information onto our real-world view, while AI provides the brains to make that information dynamic, intelligent, and personalised.
Think of it as AR providing the eyes and AI providing the mind. Together, they create experiences that are not only visually engaging but also incredibly useful and adaptive.
AI algorithms analyse data from sensors, cameras, and user interactions to understand the environment, recognise objects, and predict user behaviour. This allows AR applications to provide context-aware information, personalised recommendations, and interactive experiences that respond to your specific needs and preferences.
It is a partnership that creates a seamless blend of the physical and digital worlds.
Examples
Consumer Example
Consider a shopping app that lets you virtually 'try on' clothes before you buy them. AR uses your phone's camera to overlay the selected garment onto your image, showing you how it would look. AI enhances this by analysing your body shape and size, suggesting the best fit and even recommending complementary items based on your style preferences.
It is like having a personal stylist in your pocket.
Business Example
Imagine a field service technician repairing complex machinery. AR can overlay schematics and instructions directly onto the equipment, guiding them through each step of the process. AI enhances this by analysing real-time sensor data from the machinery, identifying potential issues, and providing predictive maintenance guidance. This minimises downtime, reduces errors, and improves overall efficiency.
It's like having an expert engineer looking over their shoulder.
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