The term adaptive AI is particularly at home in the fields of artificial intelligence, digital transformation and automation. Adaptive AI refers to systems that are able to independently adapt their behaviour to new situations or data. This means that these systems not only react to predefined rules, but can also learn from experience and continuously optimise their strategies.<\/p>\n
Imagine you are using an online shop that has deployed adaptive AI. The system recognises which products you frequently look at or buy. Based on your behaviour, the shop not only suggests similar items, but also learns from your reactions. For example, if you regularly ignore certain recommendations, the adaptive AI automatically adapts these suggestions to your actual interests.<\/p>\n
In contrast to simple, static algorithms that always work in the same way, adaptive AI is constantly evolving. As a result, it becomes more efficient and delivers increasingly personalised results over time. Companies benefit from increased customer satisfaction, while users receive more customised recommendations. Adaptive AI is therefore an important component of modern, digital business models.<\/p>","protected":false},"excerpt":{"rendered":"