SAS and Epic Games Transform Manufacturing with Digital Twins
SAS has announced the integration of its AI capabilities with Epic Games' Unreal Engine to create enhanced digital twins for the manufacturing sector, announced in a press release. This collaboration aims to transform critical manufacturing processes by allowing companies like Georgia-Pacific to experiment with new strategies in a simulated digital environment before implementing them in the real world.
Georgia-Pacific is currently piloting these enhanced digital twins at its Savannah River Mill, which produces consumer paper products. The technology enables the company to optimize the use of automated guided vehicles and other processes, potentially leading to cost savings and improved product quality. The digital twins utilize SAS' advanced analytics and Unreal Engine's 3D visualization capabilities to create realistic simulations of factory operations.
The integration of SAS' analytics with Unreal Engine allows manufacturers to visualize and interact with their operations in a digital environment, leading to more accurate predictions and better business decisions. This initiative is part of SAS' broader strategy to make advanced analytics more accessible across various industries, including healthcare and urban planning, by leveraging gaming technology to enhance business decision-making processes.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Industrial AI Weekly.
Also, consider following us on social media:
Subscribe to Daily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read more