Production & Asset Optimization
Digital transformation enables industrial customers to maximize productivity and asset availability, and lower costs. To do this, industrial customers aim to liberate data from their legacy OT systems and leverage new tools in the cloud like machine learning (ML) and artificial intelligence (AI) to glean new insights from their data. With AWS and our network of leading industrial partners, you can transform your industrial operations with the most comprehensive and advanced set of cloud solutions available today, while taking advantage of security designed for the most sensitive industries.
Featured AWS solutions
Implement data-driven process improvements to increase production output.
Streamline how you monitor and optimize your assets to lower operating expenses and reduce downtime.
Reduce energy costs and improve sustainability by monitoring energy consumption and efficiency of equipment.
Create a digital model of high value assets or equipment in order to enhance asset performance and reduce operating costs.
Connect data from machines, programmable automation controllers (PACs), and supervisory control and data acquisition (SCADA) systems for ingesting and streaming data to the cloud.
Create a centralized repository that allows you to store all your structured and unstructured data at any scale.
Detect abnormal conditions in your industrial machinery with IoT and ML, so that you can take proactive maintenance actions to reduce costly unplanned downtime.
Use machine learning models to automate decisions and augment manual process steps that increase the productivity and lifetime of your equipment.
While AWS pay-as-you-go microservices and serverless computing models reduce the cost of running your digital industrial operations, digital transformation also increases machine and worker efficiency.
AWS and Deloitte empower customers to transform their business, innovate faster, and grow ahead of the curve by combining AWS’ industry-leading cloud technologies with Deloitte’s deep industry experience, established customer relationships, and position as advisor to the C-suite.
Smart Factory Fabric is a pre-configured suite of cloud-based Internet of Things (IoT) applications designed to accelerate smart factory transformations for companies with manufacturing operations. The Smart Factory Fabric suite of services helps companies improve their operational performance and reduce costs by increasing visibility, optimizing production, improving quality, and minimizing unplanned downtime associated with running a smart factory.
Siemens is a global innovator focusing on digitalization, electrification and automation for the process and manufacturing industries, and is a leader in power generation and distribution, intelligent infrastructure, and distributed energy systems. Our Digital Enterprise Suite built on Amazon AWS provides the technical foundation for our customer’s digital enterprise supporting their digital transformation.
Seeq enables process manufacturing organizations to rapidly investigate and share insights from time series data stored in any on premises historian, Amazon Redshift, and Amazon S3 data service. With diagnostic, monitoring, and predictive analytics powered by innovations in big data and machine learning technologies, Seeq helps organizations turn data into insights that drive process improvement.
TensorIoT was founded on the instinct that the majority of 'compute' is moving to the edge and all 'things' are becoming smarter. The company is creating solutions to simplify the way enterprises incorporate Intelligent Edge Computing devices and their data into their day-to day-operations.
Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. Together, we discover ideas and connect the dots to build a better and a bold new future.
AWS IoT, ML, and edge services are powering the Volkswagen Industrial Cloud, a cloud-based digital production platform that will transform automotive manufacturing and logistics processes. It will connect data from all machines, plants and systems across Volkswagen's 124 manufacturing plants to increase plant efficiency and uptime, improve production flexibility, and increase vehicle quality.
"We will continue to strengthen production as a key competitive factor for the Volkswagen Group. Our strategic collaboration with Amazon Web Services will lay the foundation."
- Oliver Blume, CEO, Porsche AG
A subsidiary of Koch Industries since 2004, INVISTA brings to market the proprietary ingredients for nylon 6,6 and recognized brands including STAINMASTER, CORDURA, and ANTRON.
"If our manufacturing team knows when a piece of equipment is likely to fail, they can bring it down for preventive maintenance. Before AWS, we didn't have the data or the compute power needed for models to predict failures. The improved asset performance management results in reduced downtime, decreased equipment damage, and higher revenues."
- Elizabeth Gonzalez, Analytics Leader, Koch Industries
"As recently as one year ago, it would routinely take us hours or even days to collect data, run analysis, generate results, and implement a change request for a customer. Now, as soon as the application notifies us of an equipment problem, we can have the issue fixed within days."
- Eric Pool, Director of Data and Analytics Infrastructure, GE Power
“Using a combination of machine learning, edge computing and the cloud, connected Industrial IoT valves provide our customers with accurate and cost-effective measurement and monitoring capabilities.”
- Amir Widmann, CEO, Ham-Let Group
“The TensorIoT platform and AWS services align perfectly to address our core business need for data-driven production planning. Machine Learning provides us with actionable insights and data intelligence.”
- Arsalan Darbandi, Data Scientist at Reliance Steel & Aluminum Co.