AWS Partner Network (APN) Blog

Category: Internet of Things

snowflake-APN-Blog-051125

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.

Palo Alto Networks - APN blog

Palo Alto Networks secures the Internet of Things with Amazon Redshift

Palo Alto Networks faced challenges processing IoT security data at scale. They partnered with AWS to implement a new architecture using Amazon Redshift. This solution improved data processing speeds and created a dedicated pipeline for device data. Key outcomes included 50% faster API responses, real-time data aggregations, 40% infrastructure cost reduction, and improved system resilience. The new architecture enhanced Palo Alto Networks’ ability to serve customers and explore emerging technologies, reinforcing their leadership in IoT security.

Kyndryl-APN-Blog-093024

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.

How Tapway trains, manages and keeps computer vision models up to date

By Chee How Lim, CEO – Tapway Marouane Sefiani, Sr. Partner Solutions Architect – IoT Vasileios Vonikakis, Sr. Partner Solutions Architect – AIML Tapway Computer Vision (CV) models are algorithms trained to recognize patterns in images and videos. In order for them to maintain high accuracy as visual environments evolve, they need to be updated […]

Real-time data monitoring with AWS IoT Core and Imply Data

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.

How Cardinal Peak Harnessed AWS IoT ExpressLink to Speed Implementation Across the Development Lifecycle

Connecting IoT devices securely to the cloud can be complex, but AWS IoT ExpressLink simplifies this by providing connectivity modules with built-in security from AWS Partners. Cardinal Peak used these modules to accelerate IoT product prototyping, avoiding hardware redesigns, simplifying firmware, using pre-installed certificates, streamlining manufacturing, and enabling efficient cloud onboarding. Overall, AWS IoT ExpressLink helped Cardinal Peak save over 6 months of engineering time.

Accelerating the Modern Manufacturing Transformation with LTIMindtree’s Digital Command Center on AWS

In today’s industrial landscape, smart manufacturing is pivotal for sustainability and efficiency gains. However, organizations face challenges in gathering and consolidating data from multiple, often outdated sources on the manufacturing floor. LTIMindtree’s AWS-powered Digital Command Center (DCC) solution addresses this by enabling data acquisition, management, real-time KPI monitoring, and analytics-driven insights.

Semtech-APN-Blog-040224

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.