Generative artificial intelligence technologies have brought about a qualitative leap in the capabilities of smart home assistants, contributing to their development and performance improvement at a rate much faster than previous generations. The expansion of reliance on artificial intelligence has added new skills and capabilities, enhancing the competitiveness of these devices in the markets and significantly increasing demand for them both locally and globally.
In recent years, the smart home assistant markets have undergone multiple stages of development, evolving from mere devices that operated with speakers to play music and online audio clips with limited support for some screens and built-in cameras for surveillance, to advanced systems that offer higher levels of intelligence and efficiency thanks to new technical improvements.
Here are the top five improvements supported by artificial intelligence in smart home assistants:
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Proactive Tasks The first improvement is the enhancement of devices' ability to manage proactive tasks. They are no longer just a means of responding to commands but have become capable of helping users organize daily schedules, set reminders, and provide useful predictions related to weather, market trends, metal prices, and traffic, as well as suggesting applications or specific steps according to user behavior. This has contributed to saving time and effort and improving the quality of life.
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Understanding Commands Advanced artificial intelligence technologies have enabled smart home assistants to understand complex voice commands in various languages and dialects, in addition to the ability to grasp the underlying intentions behind spoken or written words. Thanks to the devices' ability to interact in a natural way that mimics human conversation, even if the commands are not precisely worded, interacting with them has become easier and smoother, encouraging users to rely on them more.
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Control Hubs These technologies have also contributed to enhancing automation processes in homes and companies, transforming smart home assistants into central control hubs for smart systems. Thus, users can control a wide range of devices, such as lighting, televisions, security systems, and robotic vacuums, all through a single interface or simple voice commands, which has increased the level of comfort.
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Continuous Development Thanks to generative AI and machine learning systems, smart home assistants have become capable of continuous development and improvement. Their capabilities are updated periodically without the need to replace devices or purchase new products. This continuous development ensures their efficiency increases over time and makes them more useful to users.
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Personalized Experience Smart home assistants rely on machine learning algorithms to understand users' daily patterns and various preferences. For example, a smart assistant can automatically adjust lighting or temperature based on the user's schedule or sleep patterns, providing a more personalized and comfortable experience. The integration of these devices with other home appliances has also become smoother. The integration of AI into smart ovens and refrigerators has enabled new functions, such as predicting food cooking times or tracking food inventory.
Consulting Services An information technology expert, Dr. Mohamed El-Feki, stated that smart home assistants have entered a new transitional phase due to the expansion in the use of generative AI technologies based on machine learning.
El-Feki added that these devices have become capable of collecting and analyzing data to provide consulting services to users, whether in dealing with home devices or in daily life matters, which has led to enhancing their performance and adding new qualitative improvements to their functions.
