AI in Manufacturing: From Data Disorder to Operational Insights

Webinar Summary

Manufacturing runs on data, but studies show that as much as 73% of an organization’s information goes unused, hindering operational visibility, decision-making capability, an overall performance. Artificial intelligence is enabling digital transformation, leveraging structured and unstructured data alike, to bring actionable insights to the forefront. AI delivers everything from prescriptive maintenance and next-best action recommendations to enhanced worker safety and quality inspection. This webinar explores AI’s role in industrial operations, showcasing real-world applications.

With the transition to Industry 4.0, the flow of industrial data has come to resemble the central nervous system of manufacturing operations—transmitting vital signals throughout an industrial environment in an intricately orchestrated give and take. But too much or too little data, delivered too early or too late, causes confusion and chaos. A pervasive problem is leaving behind unstructured data—most organizations don’t realize how much data they collect and how much information they don’t use. Studies show that 60-73% of all manufacturing data is never utilized or analyzed because it lives outside of readily accessible structured databases. This ambiguity impacts end-to-end visibility and slows down decision-making with bottom-line consequences.

Conversely, Artificial intelligence (AI) thrives at drawing insights from ambiguity and unlocking previously untapped data stores. AI is the Great Interpreter for machine and process data.

Watch on Demand

This webinar will guide you through identifying the most suitable AI based use cases for your business. Join SparkCognition for this enlightening webinar and embark on a journey to industrial transformation.