IIoT
Edge Data
Node-RED
InfluxDB
Machine Vision
AI
Predictive Maintanence
Machine Learning
Common Data Model
Real-time Data Pipeline
IIoT Edge Data Node-RED InfluxDB Machine Vision AI Predictive Maintanence Machine Learning Common Data Model Real-time Data Pipeline
Webinars
Data access and data quality in the age of AI
Discover strategies and tools for managing industrial data to ensure its accuracy, accessibility, and security.
IDH X APERIO X PRESCIENT
Scale Node-RED solutions in WAGO edge controllers
Take a leap forward in edge computing by deploying your Node-RED reference designs into WAGO edge controllers.
WAGO X PRESCIENT
Manage your time-series data pipeline at the edge with InfluxDB
Discover how InfluxDB enables Prescient Devices’ clients to aggregate their IIoT sensor data at the edge for easy reporting and dashboards.
INFLUXDATA X PRESCIENT
Customize predictive maintenance solutions with NCD long-range wireless sensors
Explore how NCD's long-range wireless sensors and our predictive maintenance solutions empower engineers.
NCD X PRESCIENT
Automated anomaly detection using sound
Gain expert insights on how predictive maintenance and edge AI improve smart factory efficiency in our joint webinar with Reality AI (Renesas).
Reality AI (Renesas) X PRESCIENT
Edge data acquisition with Prescient’s solution templates
Acquire, format, process, and store data in the edge devices, and then send data to the cloud for further processing and visualization.
PRESENTED BY PRESCIENT
Machine vision from cloud to edge
Build a production-ready, distributed IoT machine vision application from scratch with Prescient Designer, based on Node-RED.
PRESENTED BY PRESCIENT
Scaling Node-RED to Enterprise-class IoT Applications
Prescient Designer incorporates the critical elements of Node-RED, making programming and managing hundreds of edge devices as easy as just one click.
PRESENTED BY PRESCIENT
Low-code for IIoT and AI
Prescient Designer, the leading low-code enterprise IoT solution platform, enables organizations to overcome technology complexity and create an agile adoption process.
PRESENTED BY PRESCIENT