GS EPS is a South Korean environment-friendly energy enterprise to generate and provide electricity using the clean fuel such as natural gas and bio energy.

“We have been generating data across our assets for over a decade now but have only been using physics and rules based methods to gain insights into our data. Amazon Lookout for Equipment is enabling our plant operation teams to build models on our equipment with no ML expertise required. We are leading the transformation of our organization into a data-driven work culture with AWS and Amazon Lookout for Equipment.”

Kang Bum Lee, Executive Vice President, GS EPS

Doosan Infracore

Doosan Infracore

Infracore is a leading global manufacturer of heavy duty equipment and engines.

"Leveraging AI is critical in advancing Doosan’s next generation equipment, so we have partnered with AWS to develop use cases where automated and scalable machine learning could be leveraged. Based on this, we are excited to continue to work with AWS to leverage Amazon Lookout for Equipment’s analytics in our next generation IOT platform."

Cho, Jae Yeon, VP, Doosan Infracore Strategy & Digital Innovation

OSIsoft, LLC

OSIsoft, LLC

OSIsoft, LLC is a manufacturer of application software for real-time data management, called the PI System.

"Today, there are more than 2b+ sensor-based data streams inside OSIsoft PI Systems, and thousands of customers relying on the PI System daily to run their operations. These customers are constantly looking for methods to easily serve up insights for improving their competitiveness. OSIsoft products can be integrated with AWS services to help customers unlock additional value from their data. Amazon Lookout for Equipment expands the scope of services and insights available to customers by delivering automated machine learning built specifically for equipment monitoring."

Michael Graves, Director, Strategic Alliances

GE Digital

GE Digital

GE Digital is a subsidiary of the American multinational conglomerate corporation General Electric.

"Customers across the industrial sector are increasingly interested in applying machine learning analytics to a wider scope of equipment. With the introduction of Amazon Lookout for Equipment and Amazon Monitron products, AWS continues to enhance their platform for Industrial IOT use cases that can be leveraged by GE Digital to continue exploring ways to help customers further improve uptime and reliability by applying predictive analytics and proven asset management practices to a broader range of plant equipment."

Pat Byrne, CEO, GE Digital

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