LineView is currently working on Artificial Intelligence proof of concepts, such as these, to suggest potential actions, guided interventions and forecasts for better outcomes. The main goal of Machine Learning is to continue to drive down the cost of manufacturing through improving machine and line efficiency, optimising labour, and predicting outcomes more accurately. Practical AI for Manufacturing Applications Solutions in Your Factory Machine Learning is tremendously practical in manufacturing to generate novel avenues for process optimisation. It’s the natural evolution of the use of AI to generate more intelligent, more connected production through the use of self-learning technology. In fact, Machine Learning is a subset of Artificial Intelligence. Machine Learning vs Artificial IntelligenceĪrtificial Intelligence and Machine Learning are related, but the terms shouldn’t be used interchangeably. These insights solve both chronic issues, which are ongoing and having a lower level impact on performance, and sporadic problems, those momentary changes or faults that cause performance issues.Īs manufacturers worldwide continue their shift towards the factory of the future, AI and Machine Learning technologies are becoming stronger, more intelligent, and more practical. Insights derived from AI through Machine Learning can be applied on each process step, boosting human-machine interaction. Integrating smart automation and Machine Learning throughout every step of the production process provides insights earlier that will lead to taking immediate actions to prevent downtime and losses. From shop-floor diagnostics to extremely accurate predictive production capabilities, automation which harnesses the power of Machine Learning will propel your Factory to the Future. Machine Learning, as an element of AI, provides automated insights that either take humans a long time to do – or that humans simply cannot spot. Using AI, massive amounts of data can intelligently be analysed to find new, unprecedented avenues to maximise output, boost quality, and work alongside human operators and technicians to elevate their roles. High-value, low risk applications can be applied to boost OEE, maximise production quality and empower workers.īenefits of Applying AI & ML to Today’s Manufacturing In reality, valuable practical Machine Learning and AI applications are ready to be put to use today. The biggest misconception of AI is that it is an abstract, futuristic concept.
Connecting the manufacturing process through an end-to-end connected factory provides unlimited production data that humans simply cannot fully compute.
Artificial Intelligence (AI) is a crucial piece of the factory of the future.