Edge device connectivity is a challenge
To make optimal evidence-based decisions and enjoy the full benefits of Industry 4.0, data from all edge devices must be collected and analyzed in a centralized platform. This turns out to be a challenge that consumes too many resources for enterprises.
The impact on industry is devastating. Most IoT initiatives never going beyond the proof of concept stage due to the high costs and complexity involved. Today more than ever before, there is an urgent need for device connectivity automation.
Our Automatic Connectivity Generator (ACG) leverages AI to extract meaningful time series data from any incoming data stream, both previously observed and unobserved, comprising different data formats and communication protocols. The collected data is normalized into a unified format thereby enabling running advanced AI that automates the process efficiently and effectively.
Using Deep Learning, extracted data is automatically organized into a standard unified format suited for any destination, regardless of the original data format and categorized by source.
Automatic recognition of time series data extracted from a variety of devices such as temperature, pressure, flow, level, vibration, ultrasonic, voltage and more.
Our automated, vendor-agnostic solution simplifies and scales the complex device onboarding process.
