Modern AI systems need to be fast, scalable, and reliable to support real-world applications across cloud, mobile, and edge environments. As organizations work to deliver real-time intelligence and cost-efficient automation, AI model optimization becomes essential, helping balance performance, accuracy, and compute efficiency. This question invites you to share how you personally interpret the concept and what matters most to you when refining models — whether it's reducing latency, improving accuracy, lowering infrastructure costs, or maximizing energy efficiency. Your perspective will help us understand which optimization priorities developers, researchers, and practitioners value most in practical AI deployments.