By Elly Yates-Roberts on 15 November Share this story. Topics News , Azure. Comments are only visible to subscribers. Theme picker. Sign up to our newsletter. Featured articles. Latest news Embracing the cloud: digitally transforming organisations. Cybersecurity awareness for the hybrid workforce. By incorporating fast, in-memory computing technology and by using the digital twin model, this cloud service can simultaneously analyse telemetry from thousands of devices and maintain contextual information about each device.
Recently we have been continuing to enhance our digital twin streaming service with new innovations, such as a business rules engine that simplifies developing code to run within a digital twin. This new feature helps users pinpoint exactly where issues are emerging and is especially useful in applications, such as telematics, which track moving data sources. Most recently, we released an on-premises version of our streaming service that offers all the capabilities of the cloud service.
We are seeing an explosion in the deployment of intelligent IoT devices, most of which are producing telemetry that needs fast processing. This is coupled with rapid advances in wide area networking with technologies like 5G that enable analytics systems to communicate with IoT devices at much higher rates than ever before.
What key challenges do you think the IoT industry will face in the coming years? Recognition is now growing that use of the digital twin model can simplify the development of management software for IoT devices, and it can dramatically improve the quality of responses.
We are planning some exciting extensions to our streaming service to enhance the capabilities of digital twins for performing streaming analytics while they are managing the properties and relationships between IoT devices and other physical entities.
What will you be talking about? We are presenting a talk that explains how digital twins can be used for real-time device tracking in IoT. This talk describes current approaches to streaming analytics, which typically rely on query and offline analysis of message logs.
It then shows how digital twins can complement these deployments with enhanced real-time processing that independently tracks the state of each IoT device. We are a distributed team with open office locations at Epicenter in Stockholm and Base10 in Uppsala. Scaleout is top ranked in the Swedish AI startup landscape, identified for innovation within federated learning and for accelerating AI in Sweden.
Meet the people in Scaleout. We are always happy to welcome talented new people to the Scaleout team. We currently don't have any open positions, but you are welcome to submit an open application! Home Platform Blog Company. Join the community!
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