Industrial Artificial Intelligence - From Automated Process to Cognitive Analytics

Explore the transformative impact of industrial artificial intelligence on manufacturing, transportation, and supply chains in this 41-minute talk. Learn how AI technologies are leveraging vast amounts of data to optimize processes, predict failures, and revolutionize traditional operations and maintenance. Discover the potential for unprecedented savings, improved engineering efficiency, and enhanced safety through AI applications. Examine the challenges of implementing AI in industrial settings, including concerns about robustness and resilience. Delve into various decision-making models, from fully centralized to decentralized, and understand the rise of edge computing in industrial contexts. Investigate the importance of taxonomies, ontologies, and context awareness in different industrial scenarios. Compare data-driven and model-based approaches, and explore the process of hybrid prediction. Analyze the challenges in descriptive, diagnostic, predictive, and prescriptive analytics, including the concept of the "digital butterfly effect." Gain insights into the types of data analytics and the need for complete datasets to ensure effective AI implementation in industrial environments.