AIoT, or Artificial Intelligence of Things, is a paradigm where AI and IoT coalesce for faster, more comprehensive, and efficient real-time decision-making. The integration of these two technologies has led to a plethora of benefits for not only businesses but customers as well. But, understanding 'what is AIoT', its differences from traditional IoT, and how they together work to create exceptional value, requires a deep dive into the subject.

AI, considered as the 'brain', thrives on data and utilizes it in learning and automation through computational and statistical means. Meanwhile, IoT, the 'digital nervous system', is ubiquitous - in home automation and manufacturing nanobots, self-driving cars and heavy machinery.

IoT devices, when embedded with AI, glean additional capabilities. They learn from user interactions, other devices, and to significant effect, they adjust their functionality according to new inputs or environmental changes. The resultant benefits are immense - manual intervention is considerably reduced, leading to massive productivity gains. Unlike IoT devices, whose primary role is data collection, AIoT goes a step further. It learns from data patterns, analyzes and provides in-depth information for decision making. In certain cases, it even makes autonomous decisions – substantially reducing computational hours and enhancing networks' capabilities.

AIoT, by transforming our interaction with technology, presents a wealth of advantages. From businesses opting for true automation, faster data conversion into business value to easier implementation of business operations, the list is endless. AIoT provides the competitive edge businesses need. On the customer front, AIoT enables deeper insights into data analytics, leading to a superior product experience. Moreover, its capability to take into account behavioural patterns offers personalized solutions to its users.

Successful investment into AIoT necessitates real-time analytics, application of analytics as per requirement, integration with Machine Learning, Natural Language Processing, Computer Vision, and a unified lifecycle. The collaboration between AI and IoT points to an exciting future – managing real-time data emanating from numerous interconnected devices simultaneously.