Speaker

Real-World Challenges of AI in Automation

Artificial Intelligence promises groundbreaking advancements in automation, yet deploying AI-driven solutions in the real world is often met with unforeseen complexities. This keynote addresses critical challenges encountered in industrial automation, including data quality issues, interpretability and transparency of AI decisions, and robustness in dynamic environments. Drawing from real-world case studies and practical experience, the talk outlines strategies to overcome these hurdles, emphasizing the importance of developing AI systems that are reliable, explainable, and sustainable.