Cognitive computing refers to next-generation information systems that understand, reason, learn and interact. These systems do this by continually building knowledge and learning, understanding natural language, and reasoning and interacting more naturally with human beings than traditional programmable systems.
Manufacturing organizations face significant challenges: cost pressures, increased regulations, disruptive technologies and the increasingly costly delivery of raw material resources. Processes, workflows and the understanding of performance are dramatically changing. Operations can no longer work in linear execution, or in isolation of other functional work streams such as engineering, maintenance and planning. Instead, the value chain needs to perform as an integrated whole to support the fluctuating demand cycles and higher cost supply activities. New AI technologies have the capacity to make sense of the abundance of data through systems that can adapt and learn. By expanding digital intelligence adoption, AI technologies can help executives translate data into insights to drive greater innovation, and better operational and financial decisions.
A single hour of production downtime is very expensive. Using cognitive technologies ─ a combination of artificial intelligence (AI), Industrial Internet of Things (IIoT) data, advanced analytics and more ─ users can extract insights from data to move from reactive to predictive maintenance, pinpoint improvements, reduce waste and increase yield.
To help understand the potential of Industry 4.0 IBM has created an interactive demo showing how a shoe manufacturer uses IoT, analytics, machine learning and AI to double productivity without doubling equipment and asset expenses.
Put on your safety glasses and take the interactive virtual tour by clicking on the image below.
For more information: www.ibm.com