IFS Connect 2025 Spotlights Industrial AI Advancements in The Hague
The Hague, Friday, 30 May 2025.
On May 27, 2025, IFS demonstrated groundbreaking industrial AI solutions at the Louwman Museum, emphasizing AI’s pivotal role in enhancing industrial efficiency in the Netherlands.
Introduction to Nexus Black
At the heart of IFS Connect 2025 was the launch of Nexus Black, an innovative program designed to accelerate AI integration within industrial processes. Nexus Black features advanced technologies like intelligent co-pilots, a modular architecture, and AI agents trained with business context to optimize operational efficiency. Mark Moffat, CEO of IFS, emphasized the transformative impact of Nexus Black, highlighting its ability to not only predict outcomes but also to make real-time decisions and actions with full reliability and scalability [1][2].
IFS.ai: Advancing Industrial Processes
Another significant highlight was IFS.ai, the new integrated AI layer within IFS Cloud 25R1. This platform boasts over 200 AI-based features aimed at automating workflows across asset- and service-intensive industries. IFS.ai is specifically designed to leverage AI at scale, enhancing capabilities from asset management to comprehensive production process cycles. The platform aids companies in automating critical decisions, promising faster and more efficient operations [1][2].
Practical Applications and Industry Impact
During the event, leading organizations like Royal IHC and Shell shared their practical experiences with IFS solutions. They illustrated how AI and automation contribute to more efficient processes, cost reductions, and the realization of sustainability goals. This testimony underscores AI’s role as a catalyst for high performance and growth across various sectors, including manufacturing, energy, and defense [1][2].
AI’s Role in Sustainable Progress
IFS is committed to integrating sustainability with AI innovations. The newly equipped IFS Cloud platform not only enhances operational performance but also supports managing emissions through reliable data-driven solutions. This marks a pivotal shift towards operations that are not only faster and smarter but also environmentally responsible, demonstrating AI’s broader role in sustainable industrial evolution [1][2].