RESOURCES

White Paper: “Moving Beyond the Cloud: Applying the Tenets of Regenerative Engineering to Modern Edge Computing“ (Request here>)

Q&A: The Applications of Regenerative Engineering™ Achieving Server-Grade Performance on Edge Devices

Ryan Brady, Phizzle CTO: Regenerative IoT Systems for Pharmaceutical Manufacturing

Phizzle CTO Ryan Brady performs a technical whiteboard session on Regenerative Engineering—the software innovation transforming pharmaceutical manufacturing by removing manual processes to automate and digitize edge devices for true IoT connectivity.

Key topics include: edge computing, regenerative engineering, automation, artificial intelligence, flexible data formatting.

DEMO: Watch How Phizzle’s IoT Edge Decision Engine Changes the Landscape for Real-time Anomaly Detection with Transportation and Connected Vehicles

Processing is 100% dictated by configuration that describes the environment
Automates trigger detection and handling to determine reaction to data-driven circumstances
Our algorithm provides speed and scale—this demo shows 390 microseconds to process a single vehicle report in a resource constrained environment
Our IoT Edge Decision Engine detects any hazard or future hazard and alerts the driver in sub millisecond timing

EDGMaker Data Management Platform: Pharmaceutical Manufacturing Dashboard

Device management view of Phizzle EDGMaker Data Management Platform dashboard, pharmaceutical manufacturing dashboard use

Take administrative control over your entire fleet of IoT Devices. On-board, activate, and de-activate any edge device remotely in near real-time.

Device-specific view of Phizzle EDGMaker Data Management Platform dashboard, pharmaceutical manufacturing dashboard use

Remotely monitor and track all edge devices for preventative and predictive maintenance. Close the loop on device usage to optimize energy savings and automate previously manual device checks.