This project was last updated September 29, 2022 byCloodo
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IoT
IoT Analytics
IoT Device Management
September 29, 2022
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AggreGate is a white-label full-stack Internet of Things integration platform that drives a digital transformation of your enterprise from connecting the assets to "slicing and dicing" their data for discovering some valuable insights. The Platform and derived vertical products also help integrators, OEMs, telecoms, and MSPs render IoT services running both on the edge and in their cloud.
This project was last updated September 29, 2022 byCloodo
Our analytics are specifically designed for connected vehicle and connected life applications. Agnik’s patented analytics platform with onboard and in-cloud intelligence comes with market leading ecosystem of vertical specific products and built-in monetization options. Vyncs™ is Agnik's vehicle-based service platform for drivers. The expanisive collection of services include comprehensive vehicle health monitoring, insurance benefits from usage-based insurance programs, and a wide range of location-based services. Vyncs™ is powered by patent-protected technology that analyzes vehicle data and turns it into something useful. VyncsLite™ is a B2B smartphone-based connected car platform for real-time and off-line analytics. It does not require any additional device. It analyzes the phone's sensor data and creates analytics for applications in many domains such as insurance and location-based services among others.
This project was last updated September 29, 2022 byCloodo
Airlinq is accelerating the development and deployment of large scale connected applications around smart mobility and ecosystem monetization for automakers, mobile network operators and consumers around the world. Airlinq powers the next generation enterprise-grade cloud and edge platform to handle complex AI and IoT use cases for the new breed of connected assets like cars, autonomous pods and drones. This highly scalable, globally available platform is ready to support millions of connected assets and vehicles with mission-critical latency, security and reliability. Open your connected infrastructure, be it a car or a wearable, to third party service providers. Enable them to target and deliver hundreds of contextual and personalized digital services directly to the consumers. Create a wow experience with seamless service provisioning, consent, payment and billings.
This project was last updated September 29, 2022 byCloodo
IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices.
This project was last updated September 29, 2022 byCloodo
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