AWS Partner Network (APN) Blog

Tag: Internet of Things

Solutions-Architecture-1

Intelligent Video Analytics and Effective Remote Learning on Campus Private 4G/5G Networks

Edge computing is a new paradigm in which the resources of a small data center are placed at the edge of the internet, in close proximity to mobile devices, sensors, and end users. Learn about the Physical Distancing Video Analytics Solution (VAS) on campus private 4G/5G networks that was developed utilizing AWS edge services in partnership with Carnegie Mellon University’s Open Edge Computing Initiative, Megh Computing’s Video Analytics Solution, and Federated Wireless Private Network Connectivity as a Service.

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Cloud Anything-9

Onboarding and Managing Agents in a SaaS Solution – Using AWS IoT Core

You can manage agents in a multi-tenant SaaS environment using AWS IoT Core. Review a solution that offers a modular and secure approach to register and manage agents. It relies on AWS managed services to offload the heavy lifting of implementing and maintaining those mechanisms, and provides scalability, elasticity, and availability. Using AWS IoT Core for agent management provides various capabilities for managing, securing, and analyzing usage and sent data from the registered agents.

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TTI-AWS-Partners

Connecting Your LoRaWAN Devices from The Things Stack to AWS IoT Core

Learn how to integrate a customer’s LoRaWAN devices connected to The Things Stack’s LoRaWAN Network Server with the AWS IoT Core service running in their account. This integration enables you to unleash the functionality available in the AWS IoT portfolio of services (and overall AWS ecosystem) for implementing solutions. The Things Stack is maintained by The Things Industries (TTI) and provides an integrated chain of products and services for customers to start working on IoT.

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How to Deploy AI Inference on the Edge with the LG AIoT Board and AWS IoT Greengrass

The growth of AI in a wide range of applications demands more purpose-built processors to provide scalable levels of performance, flexibility, and efficiency. The LG AIoT board helps customers accelerate their computer vision and machine learning journey using AWS. Learn how to build a simple AI-enabled application with AWS IoT Greengrass that takes advantage of the hardware AI acceleration on the LG AIoT board. AWS IoT Greengrass extends AWS on your device and offers the cloud programming model and tools at the edge.

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Say Hello

Say Hello to 55 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in August

We are excited to highlight 55 AWS Partners that received new designations in August for our global AWS Competency, AWS Service Delivery, AWS Service Ready, and AWS Managed Service Provider (MSP) programs. These designations span workload, solution, and industry, and help customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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Machine Learning-4

Using Fewer Resources to Run Deep Learning Inference on Intel FPGA Edge Devices

Inference is an important stage of machine learning pipelines that deliver insights to end users from trained neural network models. These models are deployed to perform predictive tasks like image classification, object detection, and semantic segmentation. However, constraints can make implementing inference at scale on edge devices such as IoT controllers and gateways challenging. Learn how to train and convert a neural network model for image classification to an edge-optimized binary for Intel FPGA hardware.

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New Validation Checklists Clarify AWS Competency Requirements for APN Consulting Partners

To receive the AWS Competency designation, APN Partners must undergo rigorous technical validation and assessment of the security, performance, and reliability of their AWS solutions. To help APN Consulting Partners better understand this process and our validation requirements, we are releasing new versions of the AWS Competency Validation Checklists. The checklists highlighted in this post are for APN Consulting Partners.

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Training and Certification-12

New and Updated Training Courses for APN Partners—IoT, Data Analytics, Migration, and Amazon Connect

APN Partners need the right training skills and knowledge to support customers’ business goals. Together, the four training courses highlighted in this post will help APN Partners deliver on digital transformation projects using AWS IoT services; help businesses take data-driven actions based on AWS Data Analytics services; migrate customer workloads to AWS; and communicate the benefits of moving customer contact centers to the AWS Cloud.

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AWS IoT Partners

Extend Data Management to the Edge with AWS IoT Core Edge Software Qualification

Connected devices require a complex combination of hardware, operating systems, and software to connect to the cloud. To simplify this development for customers, AWS works with Independent Hardware Vendors (IHV) that can integrate AWS IoT services. In this post, we explore three qualified AWS IoT Edge Software offerings, and dive deep on how these IHVs solve business use cases while enabling customers to use these software frameworks to connect to AWS IoT services.

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Say Hello

Say Hello to 90 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in April

We are excited to highlight 90 APN Partners that received new designations in April for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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