Resources
IoT Slam White Paper:
“Location, Location, Location: The Power of the Edge“ (Request here >)
In August 2020 CTO Ryan Brady was selected as a Keynote Speaker in Phizzle’s first IoT Slam Conference. This White Paper has Ryan’s original research on linear scaling costs at the edge.
"Location, Location, Location, The Power of the Edge." Relive Free via #IoTPractitioner:
https://lnkd.in/gUFVack
👉 The number of workloads pushed to the Edge will be based on opportunity and some on the shared Data load
👉 With Scaled Sorting Scenario the cost does not scale Linearly
👉 Edge Changes the Game< Scaling up requires a Linear increase in cost
👉 The Difference is Clear!
👉 The infrastructure cost of using Dual Socket Servers makes the Edge SBC so efficient
👉 Enriching Data at the Edge doesn’t have to be extravagant. It can still provide great value and identify the ROI
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
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Processing is 100% dictated by configuration that describes the environment
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Automates trigger detection and handling to determine reaction to data-driven circumstances
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Our algorithm provides speed and scale—this demo shows 390 microseconds to process a single vehicle report in a resource constrained environment
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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
Take administrative control over your entire fleet of IoT Devices. On-board, activate, and de-activate any edge device remotely in near real-time.
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.