SWIM.AI today has introduced a new enterprise software product, Swim DataFabric. DataFabric software lets businesses interconnect all data-generating assets and provides real-time data classification, reduction, analysis and prediction. DataFabric is fully integrated with Microsoft Azure services and can be quickly deployed and managed using the Microsoft Azure IoT suite. Edge and streaming data can now be economically collected and analyzed in real-time with insights and labeled data delivered to Azure Data Lake Storage for use by enterprise applications that use Azure PowerBI or are built with Azure Power Apps.
DataFabric enables collection, labelling and local analysis of data, as it is generated delivering immediate insights and analysis. Critical insights are immediately acted upon, and the most important data identified enabling real-time visualization, efficient data labelling and delivery. Insights and underlying data are then delivered to a real- time API, to the Azure Data Lake, or for use by existing applications.
SWIM.AI provides a unique product for edge/streaming data software, which is lightweight, able to run anywhere at the edge or in the cloud - enabling local data collection, reduction, analytics and delivers both data and insights to the Microsoft Azure Cloud in real-time, said Ramana Jonnala, CEO of SWIM.AI. For the enormous volume of real- time/edge data being created by devices, sensors, machines and people the only economic way to handle the data is locally and in real-time.
DataFabric is an intelligent on-ramp to the Azure cloud for edge/streaming data
Swim DataFabric collects, cleans, labels and analyzes edge/streaming data to enable enterprises to easily integrate insights in Azure applications (an intelligent dataflow pipeline'). DataFabric can be deployed and managed using Azure IoT and provides a powerful data on-ramp to Azure services such as Power BI, PowerApps, Azure Event Hub, and ADLS Gen 2. Swim DataFabric collects edge/streaming data and automatically builds digital twin models of each real-world data source and analyzes their relationships, using real-world contexts such as location, proximity, or correlation. DataFabric digital twin models create a stateful, distributed data map for real-time processing, analytics, learning and prediction, providing a streaming framework and full integration with Azure cloud services. DataFabric takes advantage of the Microsoft Azure reference architectures for IoT to...