GEC NEWS WIREIFS unveils new IFS.ai-powered features being introduced in the IFS Cloud 24R2 release, focusing on delivering maximum value to asset and service-intensive industries and elevating the user experience to drive Industrial AI adoption at scale.
New feature highlights include:
Home is a new, dynamic, AI-powered homepage for IFS Cloud providing live project status visibility, fuelling productivity and efficiency. Anomalies are automatically detected, and corrective actions suggested, saving time and increasing accuracy of project analysis. This unique and intuitive experience combines the new context aware IFS.ai Copilot uses cases with a growing ecosystem of interactive widgets that help users plan, manage, build and service assets faster, smarter and safer.
IFS.ai Copilot now goes deeper than ever, surfacing insights from across the organization. The context aware Copilot has preconfigured industries capabilities gets even more powerful when integrated with customer data sources, and it knows where users are in IFS Cloud and provides accurate insights related to it. For example, service leaders and dispatchers can now maximize field service delivery and future planning efficiency with AI-driven accelerated, accurate decision making, and obtain instant contextually relevant answers to questions.
Within the Asset Applications module, the new IFS.ai Copilot for FMECA (Failure Modes, Effects, Criticality Analysis) feature drives optimized asset availability while reducing maintenance costs and mitigating risks. It provides detailed analysis of how an asset might fail, the probability, and consequences of making or adjusting maintenance strategies. AI supports FMECA by unlocking insights from unstructured information such as manuals and maintenance reports to support and refine the analysis.
New Prompt Libraries in Copilot empower users to take the lead with AI by storing contextually relevant prompts, eliminating repetition and boosting productivity.
IFS.ai can take unstructured data from, for example, a new manufacturing customer PO and auto create a new order so the production process can be accelerated. The impact of this new order onto the shop floor can then be modelled and analyzed with the new Manufacturing Scheduling Optimization (MSO) Simulation capability. IFS.ai does the heavy lifting, enabling production managers to improve capacity planning and meet customer demand. Meanwhile, asset managers can use the Simulation capabilities to more accurately predict and plan essential asset maintenance based on different scenarios.
Christian Pedersen, Chief Product Officer at IFS, said, “All new features and enhancements within IFS Cloud 24R2 are guided by IFS’s strategic themes. They are tailored to help customers unleash their full potential – both in terms of operational effectiveness and profitability – by leveraging IFS.ai to unlock and use the secret weapon from across supply chain and operations: their data.”
