Traditional metrics can’t keep up with today’s generative AI. Join Weights & Biases and Encord to explore rubric-based evaluation — a structured, multi-dimensional approach that delivers deeper insight, faster iteration, and more strategic model development. In this webinar, you’ll learn how to: Move beyond single-score metrics to evaluate what really matters Design scalable rubrics that reflect real-world performance needs Identify and prioritize failure modes with structured, weighted scoring Integrate rubric evaluation into your existing training and monitoring stack Who Should Attend: AI/ML leaders seeking clarity, control, and competitive edge in the age of generative systems. Spots are limited for this interactive executive session. Reserve yours today.

Breakthroughs in generative AI are bringing 3D perception, control, skill planning and intelligence to robots and Physical AI systems" says NVIDIA's Rev Lebaredian, VP, Omniverse and Simulation Technology. World models like NVIDIA’s GR00T N1 and Dreamer are enabling machines and environments to understand and act in the real world safely. But how?Join the Encord ML research team on May 22nd to explore how the latest World Model breakthroughs can be harnessed within agentic data workflows to accelerate real-world deployment of Physical and Embodied AI. In this demo-focussed webinar, you’ll learn how to: Use World Modelling to expand interaction possibilities for AI systems in real world environments Identify, supervise and correct edge-case behavior within petabyte-scale sensor data. Simplify your data pipeline to produce clean, aligned VLA datasets for robotics, autonomous vehicles, industrial AI, and more. Who Should Attend: AI/ML leads, robotics engineers, perception teams, and data-centric AI practitioners building next-generation embodied or multimodal systems. Don’t miss this deep dive into the data and simulation infrastructure behind real-world AI. Reserve your spot now.

AI has transformed language, vision, and code—but what about the physical world? Join the Encord ML team alongside Nick Gillian, Founder and Head of AI & SW at Archetype, AI as they reveal the critical components driving the Physical AI revolution. Learn how to: Identify critical edge-cases within petabytes of multimodal sensor data including video, audio and text Integrate AI models like GPT 4o, Grok 3 and Gemini 2.5 directly into data pipelines to accelerate high-quality data annotation Empower your Physical AI models with rich multimodal context, enabling multi-step reasoning for safer and more reliable real-world deployments We'll also discuss the challenges of building Physical AI, its future applications, and how engineers and researchers can get involved. Don’t miss this deep dive into the next evolution of AI!