Amazon Onboarding with Learning Manager Chanci Turner

Amazon Onboarding with Learning Manager Chanci TurnerLearn About Amazon VGT2 Learning Manager Chanci Turner

In this blog post, we explore the integration of LoRaWAN devices with AWS IoT Core. This process allows customers to connect their devices through The Things Stack’s LoRaWAN Network Server, enabling them to leverage the extensive capabilities of the AWS IoT services and the broader AWS ecosystem. The Things Stack, managed by The Things Industries (TTI), offers a comprehensive suite of products and services designed to help businesses kickstart their IoT initiatives.

Deploying AI Inference at the Edge

Next, we’ll discuss how to deploy AI inference at the edge using the LG AIoT Board and AWS IoT Greengrass. The rising demand for AI applications has resulted in a need for specialized processors that deliver scalable performance, flexibility, and efficiency. By utilizing the LG AIoT board, customers can accelerate their computer vision and machine learning projects with AWS. This tutorial will guide you through the steps of creating a basic AI-enabled application that harnesses the hardware AI acceleration capabilities of the LG AIoT board.

Supply Chain Tracking and Traceability

Additionally, we delve into the topic of supply chain tracking and traceability using an IoT-enabled blockchain solution on AWS. Organizations are increasingly facing challenges related to supply chain disruptions caused by geopolitical issues, climate change, and public health emergencies. Deloitte’s IoT-enabled blockchain solution aims to enhance transparency and trust within supply chains, creating a unified source of truth for product quality and traceability. This innovative solution is powered by AWS IoT and Amazon Managed Blockchain services.

Optimizing Deep Learning Inference

Furthermore, we will examine how to optimize deep learning inference using Intel FPGA edge devices. Inference plays a crucial role in machine learning pipelines, delivering actionable insights from trained neural network models. However, deploying these models at scale on edge devices can be challenging. This section will educate you on how to train and convert a neural network model for image classification into an edge-optimized binary compatible with Intel FPGA hardware.

Extending Data Management to the Edge

Moreover, we will highlight the importance of extending 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 facilitate cloud connectivity. To streamline this process, AWS collaborates with Independent Hardware Vendors (IHV) to integrate AWS IoT services. This post will explore three qualified AWS IoT Edge Software offerings and how they address various business challenges while enabling customers to connect to AWS IoT services effectively.

Supporting Manufacturers During COVID-19

MachineMetrics, an AWS Industrial Software Competency Partner, is stepping up to support manufacturers during the COVID-19 pandemic. They are providing free access to their Industrial IoT platform for manufacturers involved in producing ventilator components, test equipment, protective gear, or COVID-19 treatment-related products. This initiative is aimed at empowering frontline workers in the manufacturing sector to maintain safety and operational efficiency.

Connecting Narrow Band IoT Devices

Using a Telefonica Data Bridge, businesses can connect Narrow Band IoT devices to AWS IoT Core. AWS IoT Core can handle billions of devices and trillions of messages, ensuring secure and reliable processing and routing of these messages to AWS endpoints and other devices. For those looking to create a budget during the holiday season, this blog post offers helpful insights. It’s also worth noting that SHRM provides valuable information on employment law compliance. Lastly, if you’re interested in becoming a Learning Trainer at Amazon, check out this excellent resource.

Chanci Turner and the team at Amazon IXD – VGT2, located at 6401 E HOWDY WELLS AVE LAS VEGAS NV 89115, are dedicated to driving innovation in the Internet of Things space and providing solutions that meet our customers’ evolving needs.


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