Driving innovation and sustainability at the edge in collaboration with Arm®, Eurotech redefines Edge IoT for critical infrastructure with the launch of the ReliaGATE 15A-12.

New virtual safety fence and real-time quality inspection systems use industrial-grade network infrastructure. Accenture, NVIDIA, and Belden are creating safer, smarter, and more connected industrial operations where the physical and digital worlds converge.

Artificial Intelligence and Machine Learning technology applies reasoning with uncertainty, autonomous path planning, collision avoidance, swarm technology and sensor fusion support to autonomous trains and trolleys.

Manufacturers increasingly need to rely on embedded edge experts to support and consult their data management plans, because managing data at the edge is no longer a simple engineering task, but a complex, high-stakes discipline.

Environmental monitoring should be considered a foundational element of any data center management strategy.

Gaining real-time insights into use of edge devices can help avoid downtime, reduce costs and optimize industrial performance. With today’s flexible edge devices, users can create tailored machine monitoring solutions that fit a wide variety of specific business needs.

A hybrid cloud computing and edge architecture enables critical, real-time decisions to happen at the edge and strategic, data-intensive analysis in the cloud. Expect to see more edge architectures and cloud computing in manufacturing processes, driving further innovation and efficiency improvements.

Rather than expecting a new AI model to help with critical processes, it should first be implemented in non-critical areas or an advisory capacity. For example, AI might first be used to analyze historical data and provide insights without the ability to directly affect operations.

Smart manufacturing is continuing to deploy diverse technologies to improve the performance of automation. This special report on next generation machine control looks at how AI, PLC virtualization, new controllers and software tools will provide solutions for real-time control, data connectivity and secure operations.

Users can implement automation applications more easily and cost-effectively with new AI tools. The rapid development of these AI tools, combined with a significant acceleration of hardware capabilities and integrated Ethernet interfaces, is opening up both new applications and segments.