AI and ML developers often face challenges in system orchestration such as managing complex data pipelines, job coordination across GPU resources, failure handling, and deploying models. Temporal provides a code-first approach to tackle these orchestration challenges head-on, allowing developers to build more reliable services faster. Many AI companies use Temporal for orchestrating end-to-end AI/ML processes and managing complex data pipelines. Its Workflow and Activity model is designed specifically for developers dealing with complex orchestration tasks, providing visibility, resilience, and flexibility.