AWS Partner Network (APN) Blog

Tag: Manufacturing

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Achieve Excellence in Aftermarket Service with Syncron and AWS

Effective aftermarket management can boost revenue, profitability, and customer loyalty for equipment manufacturers. Syncron’s Service Lifecycle Management platform addresses challenges like siloed operations and high costs by consolidating aftermarket activities on AWS. This unified approach aligns decision-making, enhances agility, and enables data-driven insights across departments. The platform offers instant data access, analytics capabilities, and the ability to create custom data products, transforming raw data into actionable intelligence that drives efficiency and profitability in aftermarket operations.

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.

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Seeq’s Advanced Analytics on AWS boosts Manufacturing Sustainability

Seeq’s advanced analytics platform, built on AWS, helps manufacturing companies track and reduce their carbon emissions by providing real-time carbon intensity monitoring and streamlined life cycle assessment (LCA) reporting, as demonstrated through three customer use cases including a global chemical company that reduced LCA assessment time by 90%. The platform integrates with various data sources and AWS services like the Sustainability Insights Framework, enabling manufacturers to make data-driven decisions for sustainability improvements while meeting regulatory requirements and corporate environmental goals.

The Apiphani Data Pipeline and AWS Services Industrialize Data Delivery for BI, ML, and AI

Apiphani provides services and solutions to help organizations industrialize their data delivery and enable data-driven business through data pipeline deployment, Data Product delivery, and value scaling and realization. The approach covers technology, ways of working, and cultural changes to deliver reliable, right data for BI, ML, AI, and digital products. Companies following these methods can realize performance improvements in the near term as well as get on a path to be data and AI driven for years to come.

Accelerate Your Edge to Cloud Transformation with AWS Manufacturing and Industrial Competency Partners

We’re excited to announce the AWS Manufacturing and Industrial Competency, which helps customers advance their time to results, optimize operations, seek new revenue streams, and/or generate sustainable business operations, while reducing their carbon footprint. Previously the AWS Industrial Software Competency, the expanded AWS Manufacturing and Industrial Competency includes new use case categories to further differentiate partners and help customers and sellers find the right solution for their business needs.

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A Global Manufacturer’s Digital Transformation from On-Premises IoT to the AWS Cloud

When manufacturing clients migrate from on-premises solutions to cloud platforms as part of their digital transformation, the journey often starts with an application lift-and-shift. Learn how Innova Solutions’ industry-based domain expertise helps clients envision, build, and run their businesses more efficiently. See how a leading global fastener manufacturer transitioned from on-premises to AWS and how it reduced machine downtime and improved operational efficiencies at the global level.

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Unlocking the Power of Machine Data with SmartInsights from TensorIoT

TensorIoT recognized the need for solutions that help companies collect and interpret equipment and process data. Learn how SmartInsights from TensorIoT is an AWS-based customizable end-to-end solution that industrial and commercial customers use to rapidly connect and derive actionable insights from operational systems. SmartInsights reduces the level of technical know-how and skill needed to implement a functional solution, and accelerates time to value for manufacturers and other industrial customers.

Building a Predictive Maintenance Solution Using AWS AutoML and No-Code Tools

Learn how equipment operators can build a predictive maintenance solution using AutoML and no-code tools powered by AWS. This type of solution delivers significant gains to large-scale industrial systems and mission-critical applications where the costs associated with machine failure or unplanned downtime can be high. The design of this solution is based on the experience of Grid Dynamics with manufacturing clients.

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How Cognizant Interactive Data Visualization Platform Helps with Data Integration, Interaction, and Insights

Interactive Data Visualization Platform is a low-code platform built on AWS which provides an environment for developing business applications and automated workflows with minimal code. It can integrate, transform, visualize, and analyze data from a variety of sources. It can also generate insights, resolve anomalies, and proactively identify issues and bottlenecks. The platform is built with API and security-first design principles across layers. Each component runs independently and has the flexibility to be customized.

Digitalize Your Factory Performance on AWS with Metrodata Electronics

In a manufacturing process, reports are critical for tracing problems and improvement. Technologies such as Industrial IoT (IIoT) can help companies improve reporting accuracy and traceability during the manufacturing process. Learn how Metrodata’s solution architecture aims for easy access as a reliable, durable, secure platform so customers no longer need to think about problems that may arise due to limited storage and lack of computing capabilities.