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Understanding the Core Types of IoT Data Analytics: Descriptive, Predictive, and Beyond

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 The Internet of Things (IoT) has transformed how we interact with the world, connecting everyday devices to the internet and turning them into data-generating machines. From smart thermostats and wearable health trackers to industrial machinery and autonomous vehicles, IoT devices produce an enormous amount of data. However, this data is only valuable if we can understand and act on it. This is where IoT data analytics comes in. IoT data analytics refers to the process of examining the vast amount of data collected from IoT devices to uncover meaningful insights and drive smarter decisions. There are several types of analytics used in this context, each serving a unique purpose. Let’s explore the core types- Descriptive, Diagnostic, Predictive, and Prescriptive, and how they shape the future of connected technologies. 1. Descriptive Analytics: What Happened? Descriptive analytics is the foundation of all data analysis. It focuses on interpreting historical data to answer the ques...
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Predictive Analytics vs. Machine Learning

In considerations about AI and its influence on business, the footings “predictive analytics” and “machine learning” are sometimes used interchangeably. It can be ambiguous. There is a healthy relationship amongst the two, but they are various concepts. Predictive Analytics Predictive Analytics is a form of advanced analytics that encompasses a variety of statistical techniques and uses machine learning algorithms to examine probable future and to make estimates about upcoming trends, activity, and performance. It helps businesses with the examination of data which they need to plan for the future this is based on different existing and historical situations. It’s a section of the study, not a specific technology, and it prevailed long before artificial intelligence. Machine learning Machine learning is a technology used to assist processors to evaluate a set of data and learn from the insights collected. By using various algorithms, an artificial neural network is imitated th...
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