MicroAI™ embedded and edge AI solutions can reduce data transmission by as much as 80%. This can result in significant and immediate benefits to businesses of all sizes, saving hundreds of thousands of dollars for data-intensive operations.
As information technology systems continue to proliferate in size and complexity, data transmission is emerging as a critical factor for IT operators. This is being compounded by acceleration in integration with partners, customers, and agencies. Cost-effective transmission of critical asset and business data is increasingly difficult. Challenges include:
The historical reliance on the cloud has been due to the lack of data processing capability on most edge devices. These devices are typically limited in both power and processing capability, making them unsuitable to run sophisticated machine-leading-based algorithms to detect anomalies, performance deviations, or cyber-attack attempts. MicroAI’s breakthrough technology solves these problems by providing:
Complex ML-based algorithms are embedded directly into edge devices and machines, enabling sophisticated compute functions on low-powered assets.
Next-generation, edge-based, functionality such as anomaly detection, performance optimization, and advanced threat detection.
The bulk of asset data is processed locally, in real time, providing quicker value while reducing the amount of data processed in the cloud.
MicroAI can be deployed in a variety of configurations and can run on any smart device and on any operating system (RTOS, Linux, etc.).
With its Edge-native AI – ML technology, MicroAI can determine if a device is performing normally. Only anomalies are transmitted to the cloud, reducing the amount of data that requires cloud support. MicroAI enables cost-effective, multi-dimensional, inputs and complex processing. Business and operational advantages include:
