Event Description
This session provides a practical and strategic understanding of how Artificial Intelligence is reshaping the manufacturing sector in the era of Industry 4.0. We will explore how data-driven intelligence, automation, and advanced analytics are enabling factories to operate smarter, faster, and more efficiently.
Participants will learn how AI integrates with industrial systems to improve production planning, reduce downtime, enhance quality, and optimize resources. Real-world use cases will be highlighted across predictive maintenance, AI-powered quality inspection, demand forecasting, IoT sensor data analytics, and digital twin simulation models. The session will also demonstrate how smart factories leverage edge computing, cloud systems, and cyber-physical automation to create closed feedback loops and self-improving operations.
In addition to technology insights, we will discuss implementation frameworks, integration challenges, workforce readiness, and return-on-investment metrics to help organizations evaluate where and how to begin their Industry 4.0 transformation.
This event is designed for engineers, decision makers, operations managers, and innovators who are looking to understand the technical and strategic path toward building smart manufacturing systems.
Target Audience
• Manufacturing engineers and production supervisors
• Industrial automation and control engineers (SCADA/MES/PLC)
• Factory managers and operations leaders
• Maintenance and reliability teams
• Quality control and inspection specialists
• Industrial IoT and data engineers
• Engineering students and trainees interested in Industry 4.0
• Technology decision-makers evaluating factory digital transformation
• Innovators and entrepreneurs exploring smart manufacturing solutions
What you'll learn
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