Plasma’s AIoT solutions utilize next-generation endpoint and edge AI technologies to analyze data from IoT devices and to generate actionable insights from that data. Embedded machine learning algorithms train and learn at learn at the device or ecosystem level to provide automated performance monitoring, fault detection, and self-healing.
By bringing intelligence to IoT infrastructures, Plasma’s AIoT solutions create several advantages, including:
Dynamic and secure connection to single or multiple IoT assets, regardless of connectivity protocol. This includes sensors, robots, inspection machines, PLC’s, IoT field assets, and more.
AI-enabled, code free, normalization of data for mashing and comparative analysis. Self-learning of normal IoT asset behavior allows for quick detection and mitigation of performance deviations.
Machine learning algorithms produce predictive analytics that provide insights into future IoT asset performance and risks. This powers a shift from reactive to predictive asset management.
Plasma’s AIoT contains an intelligent workflow layer that automates processes associated with IoT device ecosystem management. Complex processes can be modeled and seamlessly integrated into existing systems.
The big data collected from disparate sources can be viewed in real-time via user-friendly drag and drop dashboards. Customized KPI’s can be created to actively monitor mission-critical performance metrics.
The intrinsic value of Plasma’s AIoT solution is the ability to further automate and optimize the collection and analysis of data produced by today’s IoT ecosystems, while remaining agile and scalable.
With over 40 million devices being managed on a global telecom operator’s network— and with that number continuing to accelerate—the client needed a powerful Data Analytics solution that would provide them with all capabilities required to effectively manage that huge volume of devices.
The ability to search the immense device database to locate individual devices and to identify individual characteristics such as firmware information and hardware/software versions.
Plasma’s Data Analytics Solution consisted of the following stack of capabilities:
- Data Aggregation
- Analytics and Insights
- Visualization Engine
The Plasma Data Analytics Solution has enabled the client to more closely track and monitor the millions of devices on their network as well as to conduct deep analytics on various aspects of device profiles, performance, etc
Plasma is a great vendor to work with. They took us from an email-based process to a fully designed, web-based workflow. They have dramatically changed how our devices are certified to be used on our network and they will save you time as well! One of the many processes in our current environment has saved us so much time; from four months down to a few days!
Brad Webb
Senior Product Development Manager, Emerging Devices Organization, AT&T Mobility
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