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Condition Monitoring with TinyML: Empowering Smarter Insights

In the era of digital transformation, businesses are increasingly embracing the potential of cutting-edge technologies to optimize their operations. One such technology is TinyML, which combines machine learning with microcontrollers to enable intelligent and efficient data processing at the edge. In this blog, we delve into the fascinating realm of condition monitoring and explore how TinyML empowers organizations to gain real-time insights, improve maintenance practices, and enhance overall operational efficiency.

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AI-Powered Smart Maintenance with TinyML: Empowering Edge Intelligence

In the era of the Internet of Things (IoT), artificial intelligence (AI) has taken a step further with the integration of Tiny Machine Learning (TinyML). This combination brings the power of AI to the edge, enabling smart maintenance solutions that are efficient, real-time, and resource-conscious. In this blog, we explore how AI-powered smart maintenance with TinyML is revolutionizing the way organizations monitor and optimize their equipment, leading to enhanced reliability and reduced operational costs.

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Understanding a data model

With the advent of self-service business intelligence, yet another concept needs to be understood: the data model.

If you are working with Power Pivot, Power BI or another BI solution, data is delivered in what is called a star schema.

In this free video course, you will learn to understand a data model and the associated data structure.

This knowledge is a must for people working with Power BI and Power Pivot.

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