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Connected Car
IoT Analytics
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
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
Why shop around when you can get down to the business of accelerating your growth. AT&T Marketplace makes tracking and managing your assets easy. With instant access to powerful IoT hardware, software and solutions you can gain visibility, maximize efficiencies, improve response times and optimize asset movements. And because everything is in one place, all you have to do is click, cart and connect to build, deploy and scale game-changing data driven concepts.
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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