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Automotive Industry

Connected vehicles generate an immense and growing amount of raw data that can be converted into valuable information for automakers and their customers. This raw data needs to be refined and holds the key to new features, personalized experiences, and substantial increased revenue. Automakers need new data management solutions to handle this surge. The continued development of electric vehicles and autonomous features will depend on the ability to clean and process data in real-time, both within the vehicle and externally.

Embeddable Edge Data Management for Industrial Internet of Things (IIoT)

Edge data management for the Industrial Internet of Things (IIoT) creates tremendous opportunities, innovations and cost savings as it brings computation, analysis and data management to the embedded systems close to where the data is actually generated. It enables the refining of data, the gaining of insights and acting on time series data for modern industrial embedded systems. Edge data management also interacts with and prepares data for ingestion into Artificial Intelligence (AI) and Machine Learning (ML) components that will be part of virtually every modern IIoT system.

Collect, Sense, Store Embedded Systems Time Series Data

For embedded systems, edge computing's 5G strength, security, affordable bandwidth, and data maintenance open up a world of possibilities. It brings data monitoring, data analysis, and computing close to the source of the data. As a result, whether building embedded systems with microprocessors or microcontrollers data collecting, sensing, and storing time series data is part of edge data management requirements.