AWS Partner Network (APN) Blog
Category: AWS IoT Core
Build real-time data lakes with Snowflake and Amazon S3 Tables
Learn how to build scalable, real-time data lakes by combining Amazon S3 Tables with Snowflake integration. This solution enables efficient streaming data ingestion and analysis while automatically managing table optimization and maintenance. Discover how manufacturing companies can leverage this architecture to transform IoT sensor data into actionable insights, combining operational analytics with predictive maintenance capabilities. The integration between S3 Tables and Snowflake, along with SageMaker Lakehouse’s Iceberg REST endpoint, creates a robust foundation for streaming analytics that can handle high-volume data streams while maintaining performance and security.
Unlocking the Power of AI in Manufacturing with PTC Kepware+ on AWS
PTC Kepware+ and AWS are transforming industrial operations by connecting factory floor data to cloud analytics. This integration solves the challenge of fragmented systems and data silos in manufacturing. The blog showcases specific results: a global automotive manufacturer cut downtime by 40%, while an energy provider improved wind farm performance by 15% at half the cost. Learn how the Kepware+ and AWS architecture delivers predictive maintenance, real-time monitoring, and automated responses across industrial operations. See how manufacturers are using this solution to modernize their facilities and drive measurable business results.
Excelfore Edge AI for Anomaly Detection in Connected Vehicles Using AWS
Discover how Excelfore’s revolutionary Edge AI solution transforms connected vehicle data management, reducing transmission loads by 70% while capturing critical anomalies in real-time. Learn how this AWS-powered technology enables automotive OEMs to unlock the full potential of vehicle data for continuous improvement, making the future of connected vehicles a reality today.
Empowering Firefighter Safety at the Edge
Kyndryl and AWS have developed an IoT solution to enhance firefighter safety at the edge in the face of intensifying wildfires and urban fires, using wearable devices with environmental sensors to monitor toxin exposure and health vitals in real-time. The solution transmits data to an AWS IoT/Data platform for analysis, presenting a color-coded status on a command dashboard that allows fire incident commanders to make informed decisions about firefighter health, positioning and evacuation need. This award-winning technology not only provides real-time situational awareness and automated record-keeping but also streamlines insurance claims and offers a user-friendly, compliant solution that can be adapted for worker safety solutions in industrial, energy and manufacturing sites.
Real-time data monitoring with AWS IoT Core and Imply Data
Imply Polaris, a managed version of Apache Druid, provides a solution to unlock real-time insights from IoT telemetry data. This blog post explores how to leverage AWS IoT Core and Imply Polaris to build a real-time monitoring and analytics application. It provides a step-by-step guide to connect devices, route data, and visualize insights.
Seamless IoT Device Provisioning to AWS with Semtech’s Zero-Touch Deployment Solution
Cellular IoT offers reliable, low-power, wide-area connectivity and its rapid growth is driven by increasing connected device demand across industries. Producing IoT devices at scale requires months of preparation, and Semtech’s AirVantage Device Control leverages hardware roots of trust to enable zero-touch provisioning, seamlessly binding devices to AWS IoT Core. This lowers manufacturing costs through single global SKUs, improves security, and accelerates time-to-market by eliminating provisioning customization.
Unlocking the Full Potential of Manufacturing Capabilities Through Digital Twins on AWS
Belden Inc. collaborated with AWS and Matterport to create a digital twin at its Richmond manufacturing facility. By capturing the plant environment with Matterport’s 3D camera and integrating sensor data through AWS IoT Core, they built a virtual representation of the assembly line. The digital twin enables Belden to gain insights, optimize operations, and improve asset performance in areas like employee training and preventative maintenance.
Ingesting Different Sensor Type Data in a Digital Twin with AWS IoT Core
The Internet of Things (IoT) is a fast-growing and innovative area that enables AWS customers to support a wide variety of use cases. IoT customers can also stream sensor data into a data lake where insights can be gathered by leveraging AWS machine learning services. Learn how Noser Engineering helped a customer build a general digital twin platform that is capable of adapting to rapid changes in the twined building through the integration of many different sensor types.
How the AWS Executive Briefing Center Gets Real-Time Inventory and Asset Data with CloudRail and AWS IoT
Monitoring inventory status and counts across various locations is key to inventory management. Internet of Things (IoT) sensors allow organizations to view and maintain the supply levels they need, when and where they need them, and ensure they are stored properly along the way. Learn how the AWS Executive Briefing Center (EBC) in Seattle is using AWS IoT sensor technology, along with integrations from CloudRail, to proactively monitor meeting room beverage inventory.
Building an Asset Tracking Solution Using LoRaWAN with Semtech LoRa Cloud and AWS IoT Core for LoRaWAN
LoRaWAN is a leading protocol utilizing Semtech’s LoRa long-range communications technology for LPWAN in battery-operated, remote monitoring, and control applications. AWS IoT Core for LoRaWAN offers a fully-managed LoRaWAN network server and delivers highly scalable, reliable services for a wide variety of use cases. Learn the core elements in an asset tracking application and how AWS and Semtech help lower the barrier for developers looking to deploy solutions.