Artificial Intelligence (AI) is a crucial engine for enhancing efficiency, reducing costs, and driving digital transformation in the manufacturing and logistics sectors during the Industry 4.0 era. The application of AI and Big Data allows executives and organizations to gain deep analytical insights, accurately forecast market demand, and optimize processes from the factory floor to the delivery network. This significantly enhances global competitiveness and enables businesses to respond to supply chain fluctuations promptly.
More recently, AI models have been widely and rapidly adopted in this sector, ranging from predictive maintenance and smart warehousing to autonomous robotics and route optimization. These technologies can seamlessly integrate and collaborate with Industrial Internet of Things (IIoT) systems to create intelligent workflows.
This tutorial provides a comprehensive guideline for applying AI in manufacturing and logistics. The session is designed to equip participants with essential knowledge ranging from establishing data infrastructure and implementing AI models to managing overall business impacts.
By the end of the tutorial, attendees will have a clear, actionable methodology for adopting AI technologies and formulating data policies within their organizations to elevate both production capabilities and transportation systems. This tutorial is highly relevant for C-level executives, supply chain managers, data engineers, researchers, and IT professionals working on upgrading industrial processes. By providing a structured approach, this session will help drive innovation, sustainability, and maximum efficiency in the smart industrial ecosystem.