The presentation delves into the captivating narrative of a determined hero in the world of artificial intelligence by embracing the "hero's journey" archetype to recount their experiences of overcoming challenges and learning from mistakes made while training AI models. The presentation highlights the importance of embracing failure and ultimately transforming the missteps into valuable lessons that contribute to developing more effective and ethical AI systems. The presentation aims to provide insights and tips on identifying potential issues through examples and highlight key learnings on improving data quality, reducing biases in algorithms and increasing the robustness and explainability of machine learning models.