60+ in-depth IFS.ai scenarios available now in IFS Cloud 24R2
IFS, has boosted IFS.ai offerings in the six hardcore industries it serves to 60+ in-depth Industrial AI scenarios that are available in the IFS Cloud 24R2 release, with more than 300 additional scenarios in the process of MVP (minimum viable product) validation.
Despite the noise around generic co-pilots and consumer-focused AI, IFS is driving change and adoption of arguably the most impactful application of AI: Industrial AI. IFS.ai is Industrial AI, with customers already using and able to immediately implement it without the need for expensive investments in toolkits or additional implementation resource.
The Industrial AI scenarios available today with IFS.ai fit within the following Classes, and span both Generative AI and Predictive AI:
Generative AI
- Content generation (personalized training; autogenerated project reporting)
- Recommendation (configuration to improve production quality; sourcing and supplier decision support)
- Contextual knowledge (assembly instruction and real-time guidance; unstructured data knowledge retrieve)
Predictive AI
- Event forecasting (automated risk and mitigation; simulate product and asset behaviors)
- Optimization (optimize task sequencing; optimize vs. resources vs. capacity)
- Anomaly detection (proactive quality control and monitoring)
Customers already using IFS.ai are reporting rapid returns.
Ependion has turned to IFS.ai to improve efficiencies in the Manufacturing space. CIO, Joakim Stolt said: “IFS.ai Manufacturing Scheduling and Optimization (MSO) will help us increase productivity by automating our production planning process. We can quickly respond to changes based on external factors with AI-driven optimization designed to maintain high utilization of our critical resources to better meet customer demand. Ultimately, we are able to deliver optimal outcomes to our customers and product planners.”
Noble Corporation, a world-class offshore drilling company, is using IFS.ai to boost productivity and efficiency. Kristian Mortensen, Manager, Maintenance Process & Solutions, said: “Ideally we only want to service or replace a component when it is within 80% of its predicted failure time or lifetime. IFS.ai promises to help us get a lot closer to that more efficient maintenance scenario. It also promises to make our systems perform better because we know what it is that we need to do – the critical failure point – from the legacy and analytics projections. If we want to change the maintenance interval, IFS.ai will help us to justify decisions to authorities and OEMs based on the historic data and insight available within the system.”
“Industrial AI is at the very core the solutions we are powering for customers. They are pushing us for ready-to-use AI that they can adopt quickly to solve real industrial challenges like labor shortages, supply chain disruption, stagnated productivity,” said IFS’s Chief Customer Officer, Cathie Hall. “IFS is the pioneer of Industrial AI, and we are committed to further extending our global leadership position, making more real-world AI use cases available for customers in our hardcore industries. IFS’s mission is to accelerate the pace of AI development and adoption throughout our organization and into the products and services we deliver to customers. Our commitment to continued investment in IFS.ai has never been stronger.”
