In this live webinar, we dive into ACCIONA’s Smart Plant use case, demonstrating how Schneider’s SoftdPAC can be seamlessly deployed across multiple industrial PCs, regardless of the hardware manufacturer, all managed remotely from a centralized platform developed by Barbara.
The food and beverage industry stands on the brink of a new era, driven by the transformative power of Artificial Intelligence in the Edge. By processing data on-site, businesses can immediately adjust operations, predict maintenance issues, and ensure product quality, directly impacting their bottom line. In this article we explore the challenges of embracing Edge AI in the Food Industry.
Many companies find themselves underprepared for the complexities involved in expanding their projects within the Edge. Proof of concepts (POCs) typically focus on one or a few locations, but if successful, they must scale to hundreds or even thousands of locations. This article highlights key considerations for technology leaders navigating the Edge AI landscape.
AI enables machines to learn from data, make decisions, and adapt to changing conditions, thereby optimising manufacturing processes to a greater extent. This fusion of automation and AI is transforming the manufacturing industry and driving innovation in ways never seen before.
In the age of AI, the chemical industry finds itself on the brink of a major shift, propelled by the demands for enhanced efficiency, sustainability, and innovation. Edge AI emerges as a key technological enabler, offering unparalleled capabilities for real-time monitoring and control, predictive maintenance, supply chain management, and enhancing sustainability and energy waste optimization.
As thousands of millions of assets are connected to the Internet the industrial world faces new challenges when it comes to connectivity and cybersecurity for real-time automation and decision making . In this talk we address the key role of an Edge Platform as a solution to overcome the Data Gravity issue of the Cloud.