AWS Partner Network (APN) Blog

Category: Edge

How to Accelerate Asset Visibility with Claroty Edge on AWS Snowcone

Industrial IoT adoption is increasing the connectivity of operational technology to IT systems, necessitating better visibility into assets. Claroty Edge on AWS Snowcone enables asset discovery to build an accurate inventory and identify vulnerabilities. Combined with Claroty xDome, this provides comprehensive IT/OT asset management and vulnerability insights. xDome integrates with AWS Security Hub to simplify deploying asset visibility and enable organizations to defend and secure their connected environments.

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Automating Quality Machine Inspection Infused with Edge AI and Digital Twins for Device Monitoring

Kyndryl built an AI solution on AWS to detect pores in welding using acoustic data and a custom algorithm with voltage data. It’s an end-to-end solution that collects data from welding machines, processes it at the edge to detect pores, and streams it to the AWS cloud for historical analysis. Kyndryl’s pore detection solution on AWS increases quality and optimizes manufacturing, improving defect detection accuracy while increasing efficiency and reducing rework costs and customer churn.

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Automated Cloud-to-Edge Deployment of Industrial AI Models with Siemens Industrial Edge

Data is transforming the manufacturing industry with use cases that reach from real-time performance monitoring of machines and equipment to optimized planning of workforces, tasks, and production configurations. Learn how the Siemens Industrial Edge enables users to easily and securely deploy models developed on AWS to the edge. We’ll also demonstrate how AWS services can be used to orchestrate the packaging and provisioning and deployment using Siemens Industrial Edge capabilities.

Abstracting Out Edge Computing Complexities with AWS and the Edge Signal Platform

IoT leverages edge computing and unlocks many use cases, but developers will tell you collecting and processing data at the edge is not without its challenges. Issues of scalability, connectivity, security, reliability, integration, and management are commonplace. This complexity led the Edge Signal development team to create the Edge Signal infrastructure platform. Learn how it helps keep developers focused on their core business and reduces the distractions of infrastructure complexities.

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Integrating Edge Solutions with AWS Outposts Rack, AWS Local Zones, and Megaport

Customers who want to use AWS Outposts rack to build out their own hybrid edge infrastructure face complexity, as they need to prepare their environment to accommodate the router, switches rack, and power to connect their Outposts. Learn how customers can use many, but not all, of the deployment options to connect Megaport’s Fabric and Network edge to Outposts. These use cases remove barriers, simplify edge connectivity, and eliminate the need for additional customer networking devices for hybrid solutions.

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How Virtusa Powers Hyper-Personalization with 5G, AWS Wavelength, and Edge Technology

The digital revolution has seen an explosion of marketing data, and hyper-personalization takes personalized marketing to the next level by gathering data and providing targeted recommendations to improve the user experience at every digital touchpoint. What if you could cross the digital barrier and run hyper-personalized campaigns in the real world? Learn how Virtusa uses 5G, AWS Wavelength, and edge technology to help bridge this divide.

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Migrating E-Commerce Sites to SaaS Using A/B Testing and AWS Edge Services

Modern e-commerce websites face challenges in website versioning, system uptime, continuous deployments, and A/B testing. Migrating a full e-commerce solution is not a trivial project, and doing so while maintaining two versions of the website in production makes it more challenging on many levels. Leveraging AWS edge services, you can increase business agility by not only improving the migration experience, but also by employing A/B testing to validate business decisions faster.