Artificial intelligence has revolutionised manufacturing by providing tools to generate insights and value from existing data, helping manufacturers optimise operations, reduce costs, and improve product quality. Elisa IndustrIQ has been at the forefront of this revolution, developing a portfolio of AI-powered solutions that empower manufacturers to unlock the value hidden in their existing data and processes, enhancing their competitiveness in today’s dynamic markets.
The Power of AI in Manufacturing
Manufacturers are increasingly looking towards AI-powered solutions to improve production efficiency, reduce costs, and improve product quality. AI and machine learning algorithms can help manufacturers leverage the data they already have at their disposal to streamline their operations and optimise production schedules.
“Our vision has always been to revolutionise manufacturing by harnessing the power of AI and advanced analytics”, says Lasse Nordlund, Managing Director of Elisa IndustrIQ. “We’re excited to demonstrate how our AI-powered solutions can help manufacturers unlock the value buried in their existing data and achieve greater efficiencies.”
ML-Powered Anomaly Detection for Semiconductor Manufacturers
Elisa IndustrIQ’s joint effort with camLine has led to the development of ML-powered anomaly detection solutions for semiconductor manufacturers. This solution streamlines quality control processes, swiftly identifies and addresses production issues, and boosts overall manufacturing efficiency. The adaptable deep learning model minimises design analysis work and showcases operational excellence.
Enhanced Demand Sensing for Improved Supply Chain Management
Elisa IndustrIQ’s collaboration with sedApta has yielded enhanced demand sensing solutions, integrating historical data and external factors—such as fuel costs, annual festivities, and global events—to deliver more accurate forecasts. This empowers customers to make better decisions and optimise their supply chain management.
AI-Enhanced Bill of Materials Optimisation for Electronics Manufacturers
In partnership with CalcuQuote, Elisa IndustrIQ developed AI-enhanced BOM optimisation tools to tackle supply chain challenges in electronics manufacturing. By applying advanced machine learning to identify component patterns and optimise inventory, manufacturers realise significant cost savings and shorter lead times.
AI-PROFICIENT: Revolutionising Plant Productivity
The AI-PROFICIENT R&D project—created with TenForce, INEOS, and Continental France—combines AI, IIoT, and augmented reality to elevate plant productivity. Features include early fault detection, digital twin simulations, transparent decision-making, and personalised shopfloor assistance via XR and conversational interfaces.
Conclusion
Elisa Industriq’s powerful portfolio of AI-powered solutions enables manufacturers to unlock the full potential of their data—optimising production schedules, reducing waste, and enhancing product quality, all while accelerating time to market.
