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Text Content

OVERVIEW

Title: Leveraging Open and Modular Edge Computing to Accelerate Industrial IoT
Solutions

Duration: 41 minutes

Available On Demand

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for Help.

Summary

Edge computing can help manufacturers make their products smarter to generate
valuable insights. But until now, it's been a challenge to connect and manage
embedded devices securely, avoid vendor lock-in and control the cost of
equipment upgrades.

In this webinar, Software AG and Kunbus deliver insights that will help you
connect your embedded devices with security and reliability, more quickly, and
easily than ever before. You’ll learn how combination of open-source edge
computing (thin-edge.io) and modular, industry-grade hardware (Revolution PI
from Kunbus) can help you generate business value quickly and maintain
flexibility for whatever your connected equipment future brings.

Learn how to overcome challenges with IoT-enabled devices connected through thin
edge:

 * Create a secure product that is still easy to manage
 * Create and operate a product that remains reliable and robust years into the
   future
 * Maintain freedom of choice for IoT platforms, programming languages and
   embedded hardware platforms
 * Add features to smart, connected equipment while controlling costs and
   maintaining high performance

Manufacturers building with thin-edge.io gain an extensible, open platform for
building new, flexible IoT applications on thin edge devices, drawing on proven
technology. thin-edge.io is the first open source, cloud-agnostic tool IoT
framework designed for resource-constrained edge devices.

Kunbus will showcase a live demonstration of IoT at the edge from the shop floor
of its Stuttgart headquarters, leveraging the Revolution PI. See how easy it can
be to connect and manage thin edge devices, generate insights into machine
performance, and configure systems to improve performance.

Come with questions – there will be an opportunity for Q&A. Plus, all attendees
will get early access to a new report that summarizes the market research and
highlights the methodology enabling smart equipment makers to offer
Equipment-as-a-Service.