Core Insights - Lenovo's CTO Tolga Kurtoglu emphasized that the current AI applications are not yet mature enough to create real value for users, but rather are rapid iterations of technology demonstrations [1] - The future of user-centered AI will involve collaboration among various models and intelligent agents across edge, cloud, and device environments, providing seamless services to users [1] - Lenovo aims to build a model factory to reduce deployment time from months to weeks, ensuring that the latest model performance is always available to its ecosystem [1][3] Model Deployment and Automation - Efficient model orchestration will automate model selection for users, allowing AI agents to determine when to keep queries private or public, enhancing user experience [2] - The orchestration technology will connect edge devices to both public and private models, significantly increasing the information available to users [2] AI Agent Development Framework - Lenovo's AI agent development framework will accelerate the deployment of AI agents by providing foundational components that can be customized for specific tasks or user needs [3] - The combination of rapid model deployment, advanced orchestration technology, and a robust agent development framework positions Lenovo to deliver superior AI agents to users [3]