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.
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.
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.
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.
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.
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.
PCBL Limited has produced carbon black for over 60 years and established a presence in over 40 countries. As the company grew, it sought an opportunity to build operations that scale. However, its legacy, on-premises infrastructure was approaching end of life. PCBL Limited worked with IBM to support its move to SAP S/4HANA on AWS, and IBM helped identify processes to modernize and provided training and support to get both its data and employees comfortably settled in the new landscape.
Wipro moved Schneider Electric’s crucial on-premises SAP system onto AWS, completely re-architecting the system for the cloud, changing the operating system, upgrading databases, and migrating terabytes of data to AWS. The partner and customer both sought a goal larger than reducing the physical data center footprint: they aimed to improve digital supply chain operations and enhance the performance of Schneider Electric’s industrial automation business.
Within its vehicle data warehouse, global manufacturer Toyota North America can follow each vehicle’s origin story, from manufacturing plants to dealerships around the world. Using a next-generation data lake developed by Infosys Cobalt and built on AWS, Toyota North America can collect and analyze data from different manufacturing plants. Toyota North America also gathers supply chain data, such as where the car was manufactured and where it is shipping.
To improve the fault detection process, it’s crucial to monitor production systems and collect performance data in real-time using smart sensors and IoT devices. This post highlights the critical aspects of Quantiphi’s serverless, fully-managed, and streaming ETL pipeline, along with the benefits of the centralized lakehouse (data lake + data warehouse) solution built on AWS. Learn how the solution helped a U.S.-based manufacturing company make better decisions and improve their customer’s production efficiency.