AI-powered applications use artificial intelligence and machine learning technologies to automate, enhance, or enable capabilities that traditional software can’t. They can analyze large amounts of data rapidly to find patterns, power predictions, enable natural language interactions, or make real-time decisions. For example, they can personalize content, offer chatbots for customer support, detect fraud, or optimize logistics operations. Their strengths include improved efficiency, scalability, adaptability, and the ability to learn and get better over time. However, development requires high-quality data, ethics oversight, careful bias mitigation, and ongoing monitoring to maintain safety and reliability.
