Neuro-Symbolic AI represents a groundbreaking fusion of neural networks and symbolic reasoning, combining pattern recognition with logical deduction. This hybrid approach aims to create AI systems that excel in complex problem-solving tasks, offering both interpretability and versatility. It is an active field of research where various methods are explored to seamlessly integrate these two AI paradigms, paving the way for deeper comprehension and reasoning capabilities. This talk will delve into the potential applications of Neuro-Symbolic AI, shedding light on its promise in fields like scene understanding and production systems. By bridging the gap between neural and symbolic AI, this approach stands at the forefront of advancing machine intelligence.