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Alphanalytix IoT Analytics is a fully-managed service that makes it simple to run and operationalize intricate analytics on enormous volumes of IoT data without worrying about

the expense and complexity usually associated with building an IoT analytics platform. The best and most accurate conclusions for IoT applications and machine learning use cases may be made using this method, which is the simplest way to execute analytics on IoT data. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases.


Since IoT data is largely unstructured, traditional analytics and business intelligence technologies that are made to analyse structured data find it challenging to evaluate. IoT data is generated by equipment that frequently records extremely loud processes (such as temperature, motion, or sound). Before analysis can begin, the data from these devices must typically be cleaned up because it frequently contains large gaps, damaged messages, and misleading readings. IoT data is frequently only meaningful when combined with other, external data inputs. For instance, vineyard irrigation systems frequently combine rainfall data from the vineyard with moisture sensor data to help farmers decide when to irrigate their crops, enabling more effective water use while optimizing harvest output.


Each challenging step needed to evaluate data from IoT devices is automated by Alphanalytix IoT Analytics. Prior to being stored in a time-series data store for analysis, IoT data is filtered, transformed, and enhanced by Alphanalytix IoT Analytics. You can configure the service to only collect the data you require from your devices, process the data using mathematical transformations, and then add device-specific metadata, including device type and location, before storing the processed data.


Then, using the built-in SQL query engine, you may run ad hoc or scheduled queries to analyze your data, or you can carry out more intricate analytics and machine learning inference. Alphanalytix IoT Analytics includes pre-built models for popular IoT use cases, making it simple to start using machine learning.


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