Data analytics has emerged as a critical capability for businesses and organizations in the modern era. The abundance of data necessitates a deep understanding and the exploitation of its potential to gain insights into current and future scenarios. This paper introduces an integrated platform designed to streamline data acquisition, storage, management, processing, and visualization. The primary objective is to facilitate data analysis by offering a machine learning studio equipped with pre-built algorithms. Remarkably, this platform eliminates the need for coding, allowing users to effortlessly generate AI models. Furthermore [19], it provides a secure environment for sharing these models without compromising data privacy-a noteworthy contribution in the realm of federated learning (FL). The platform’s significance lies in its ability to empower non-technical users to perform advanced tasks without requiring specialized expertise.
Data analytics has emerged as a critical capability for businesses and organizations in the modern era. The abundance of data necessitates a deep understanding and the exploitation of its potential to gain insights into current and future scenarios. This paper introduces an integrated platform designed to streamline data acquisition, storage, management, processing, and visualization. The primary objective is to facilitate data analysis by offering a machine learning studio equipped with pre-built algorithms. Remarkably, this platform eliminates the need for coding, allowing users to effortlessly generate AI models. Furthermore [19], it provides a secure environment for sharing these models without compromising data privacy-a noteworthy contribution in the realm of federated learning (FL). The platform’s significance lies in its ability to empower non-technical users to perform advanced tasks without requiring specialized expertise. Read More
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