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Tel: +44 (0)191 814 2220
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Learn about why the edge offers the greatest opportunity to address the complexity inherent in Industrial IoT designs. Discover why an IoT platform deployed at the Edge and based on open architecture principles is the most critical integration component in any IIoT system. Learn about the key capabilities that are needed at the platform level to support an end-to-end IIoT deployment. Discover why IOTech and other IoT industry leaders are working closely with industry-wide initiatives such as the Linux Foundations' EdgeX Foundry consortium to develop open approaches to edge computing. Learn about how IOTech's Open IoT Edge Platform solutions are being used to successfully enable end-to-end IIoT deployments in support of complex multi-vendor use-cases across different vertical markets such as manufacturing, energy management and retail
Join James Butcher, IOTech Product Manager and recognized industry expert for the latest instalment in IOTech's Webcast Series as he discusses the need for interoperability between Edge and Cloud architectures and why a Hybrid model is the way forward. There is currently an acceleration from fully centralized cloud-based systems to distributed architectures driven by edge computing. Cloud computing alone is unable to handle the vast amounts of data that will be created by the billions of connected devices that are predicted, or the need for local insights from the latency-sensitive applications on which they depend. However, most systems will not solely rely on edge computing solutions either. In fact, fully autonomous edge applications are quite rare.
Understand why an Open Edge Platform is critical in enabling data from different sources to flow to the key business-insight providing applications in an Industrial IoT system. Why data interoperability between things, applications and the cloud is fundamental to any Industrial IoT system. Why edge AI and analytics applications need to access data from potentially multiple sources in real-time and often using different OT protocols. How to ingest, normalize, filter and clean data in a standard way to provide those applications with the reliable data they need. How to manage complex connectivity requirements and remain 'open' in diverse Industrial IoT environments
Explore the challenges of Time-Critical computing at the IoT Edge - how platform technology can accelerate development and deployment of maintainable and portable solutions and the types of use cases where this technology is applicable. What are the characteristics and challenges faced by Time-Critical edge systems. The importance of edge platform technology to meet these challenges. What are some of key Time-Critical use cases at the edge . What capabilities do the edge software platforms need to provide to support. Time-Critical use cases. What's the business case for buy versus build. Edge XRT Time-Critical Edge Platform in action and the numbers
As IoT adoption gathers speed an increasing number of projects are moving from small scale pilots to large scale rollout. At the edge users face a unique set of management challenges when deploying systems consisting of 100s or possibly 1000s of edge nodes. During the presentation, Jim tackles key edge management issues by focusing on approaches to managing both the nodes and their connected devices/sensors, as well as the applications that will be deployed on these nodes. The Session Cover: How is edge management different from cloud / enterprise management? Current edge management approaches, their strengths as well as their limitations. What are the differences between Node management, Application management and Device management? The need for open architecture edge management solutions
Watch IOTech present our commercial EdgeX offerings used in real-world deployments at the EdgeX Foundry Adopter Series session. Continuing the Vertical Solutions EdgeX Adopter Series, Keith Steele - IOTech CEO and Jim White - IOTech CTO will present how they have built a successful range of COTS value-add edge offerings based on EdgeX Foundry.
Edge XRT is adding a lot of value and provides clear differentiation over alternative approaches. The first is to provide a flexible IoT framework for microcontroller and microcomputer class devices, these are environments with memory constraints less than 1GB and as low as 256KBs, typically running a low powered ARM processor. Creating IoT applications for these types of device is normally the realm of custom/bespoke application code created by highly experienced embedded developers. What our users like about Edge XRT is that in many cases they can create connected edge applications simply by configuring Edge XRT's standard components without the need for complicated programming, although they can of course create components of any complexity if needed. This capability was highlighted in our recent webcast "Accelerating Time to Value for IoT Applications at the Far Edge" where we discussed our partnership with Microsoft. Over the last six months we have been working with the Microsoft Azure Sphere team who have in turn been partnering with a number major hardware vendors to create a new generation of secure, certified chips and MCUs based Azure Sphere IoT technologies. In this case, Edge XRT provides a standard configurable IoT application layer for Azure Sphere devices that can reduce time-to-market for new edge applications deployed within the Azure ecosystem from weeks to days.
Watch Tom Urquhart, PhD., IOTech SVP Global Solutions and Microsoft's Tom O'Reilly, Global IoT Ecosystem for Azure Sphere as they present the business problems that can be solved when you combine the world's first Time-Critical edge software platform Edge XRT with Microsoft Azure Sphere. Edge IoT devices are going mainstream and organizations now have the opportunity to deploy edge data acquisition and processing much more quickly and cost-effectively. Microsoft Azure Sphere is an application platform with built-in communication and security features for internet-connected devices. It comprises a secured, connected, crossover microcontroller unit (MCU), a custom high-level Linux-based operating system (OS), and a cloud-based security service that provides continuous, renewable security. To get the most benefit from Azure Sphere, Microsoft is collaborating with IOTech to deliver a deployment ready edge solution, now possible with IOTech's Edge XRT, which is optimized for highly embedded environments such as Azure Sphere. IOTech's Edge XRT product runs natively on Azure Sphere and provides standard OT connectivity to popular OT protocols 'out of the box', edge data processing and seamless data communications with Azure IoT Hub including support for Digital Twins. There is no need to code from scratch, you simply configure, deploy, and go.
The Catalyst 3 Science Square
Newcastle upon Tyne United Kingdom NE4 5TG
Tel: +44 (0)191 814 2220
, edge computing, internet of things, IoT, Industrial IoT