Part 2: AI/ML into VFX, Animation & Games Studio Pipelines – Walk, Run

The journey to adopt AI/ML services & applications into VFX, Animation, and Game pipelines can be broken down into four distinct phases: Nest, Crawl, Walk, Run. In Part 1, we introduced the fundamentals of machine learning, explored a range of creative applications, and covered the first two phases, Nest and Crawl, including how to get started, set strategy, and build momentum.

Now, in Part 2, we shift into high gear, covering the Walk and Run phases, where AI moves from proof of concept to production-ready, scalable solutions, backed by robust processes, that deliver real creative and business impact. In these stages, teams implement structured workflows, optimize infrastructure, and establish continuous improvement practices to keep AI initiatives reliable, efficient, and adaptable at scale. We’ll also dive into one of the most overlooked but mission-critical topics in creative AI: Data as Fuel.

While models get the spotlight, it’s high-quality, well-annotated datasets that truly power results especially in media, where public datasets rarely fit the bill. We’ll unpack how to create, manage, and maintain studio-grade, AI-ready datasets that enable powerful, production-level outcomes. Whether you’re ready to scale your first AI project or supercharge your existing capabilities, this session will give you the practical insights to take your AI adoption from promising experiments to indispensable production tools.