Time:2026-08-05 Browse: 0
Emerson brings together industrial leaders in Beijing to explore how artificial intelligence, automation technology, and localized innovation are accelerating the future of smart manufacturing.
Emerson, a global leader in industrial automation technology and software solutions, successfully hosted the 2026 Boundless Automation Summit in Beijing. Under the theme of “AI Drives, Intelligent Manufacturing Without Limits,” the event gathered more than 650 industrial experts, technology leaders, and ecosystem partners to discuss the integration of artificial intelligence and automation, as well as the future development of autonomous operations in industrial environments.
The summit focused on two major topics: AI-driven intelligent manufacturing and digital integration for autonomous production. Industry professionals discussed key challenges in moving industrial AI from proof-of-concept projects toward large-scale engineering applications, exploring how companies can use AI technologies to upgrade traditional automation systems into more intelligent and self-optimizing operations.
As industrial digitalization continues to accelerate, manufacturers are demanding stronger capabilities in data integration, intelligent decision-making, and operational optimization.
Emerson introduced its Boundless Automation™ concept, which aims to connect field devices, edge computing, cloud platforms, and enterprise-level operation systems. By combining industrial software, AI technologies, and automation platforms, the solution helps companies unlock the value of industrial data while improving safety, efficiency, reliability, and sustainability.
Through this approach, industrial enterprises can gradually move from traditional automated production toward autonomous operations, where systems can provide deeper insights, optimize processes, and support faster decision-making.

Erik Lindhjem, President of Emerson Asia Pacific, highlighted that artificial intelligence is becoming a major force in industrial transformation. However, successful industrial AI implementation requires more than advanced algorithms.
According to Emerson, practical industrial AI depends on three essential foundations:
Reliable industrial data infrastructure
Deep industry expertise and process knowledge
Mature automation and control systems
With integrated capabilities covering measurement, control, software, and process optimization, Emerson aims to help industrial customers apply AI technologies directly in production environments and achieve safer, more efficient, and more sustainable operations.
China remains one of Emerson’s most important global markets. Since entering China in 1979, Emerson has continuously expanded its local presence by establishing innovation centers, manufacturing facilities, engineering capabilities, and service networks.
Through localized research and development, supply chain integration, and manufacturing operations, Emerson has built a comprehensive business ecosystem covering product development, production, sales, and customer support.
Over recent years, Emerson has continued investing in innovation and developing solutions that combine global automation experience with China’s rapidly changing industrial requirements. These efforts support customers in areas such as smart manufacturing, digital transformation, energy efficiency improvement, and low-carbon development.
The 2026 Boundless Automation Summit demonstrates the changing role of automation technology providers. The future of industrial transformation is moving beyond traditional solution delivery toward deeper cooperation between technology companies, manufacturers, and industrial partners.
By combining global automation expertise with local industrial experience, Emerson continues to support enterprises in improving production efficiency, enhancing operational safety, and achieving sustainable development goals.
As artificial intelligence becomes increasingly integrated into industrial systems, automation companies with strong engineering experience, reliable platforms, and industry-specific knowledge will play an important role in shaping the next generation of intelligent manufacturing.
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