How do fast-moving AI teams deliver cutting-edge performance without drowning in infrastructure? In this session, SwingVision, makers of the #1 AI tennis and pickleball app, joins Encord to share how they’ve built a real-time computer vision system that runs on-device, at scale! We’ll unpack the key decisions that helped them accelerate ML development, manage complex edge cases, and avoid building costly tooling from scratch. What You’ll Learn: How SwingVision structures their AI data stack for speed, trust, and scale Frameworks for deciding when to build in-house vs. integrate external tools How they identify and retrain on high-impact edge cases Where tools like Encord help reduce technical debt and unlock model velocity If you're leading AI infrastructure or ML teams, this conversation will help you rethink how to prioritize engineering time, increase iteration speed, and scale smarter.

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.

Join Encord and Neurons as we reveal how existing ML solutions, LLMs like Claude & GPT, and robust data pipelines come together to form an AI system that drives real product and business value. We are providing a blueprint for how to: Turn existing ML solutions into value-driving recommendations Align model behavior with business outcomes to maximize ROI Build systems that act, not just suggest, without compromising trust Combine Claude, GPT, and proprietary neuroscience models into a unified VLM system Reserve your spot now to learn how to make agentic AI work for your product, and your business.

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!

Join Encord’s ML team in this demo-focussed webinar to learn how to integrate leading foundation models (R1, O3, Claude 3.7, Grok 3) and custom Hugging Face models into AI data workflows to automate any manual data tasks at petabyte scale and unthinkable speed. Key highlights How to integrate AI models to automate any data labeling task such as object detection and tracking to audio transcription, video summarization, and sentiment analysis with Encord Data Agents. How to leverage Encord Data Agents for scaling high-volume manual data actions like cropping, audio-video pairing, polygon edge snapping. How to chain multiple AI models together to build a customized data engine for creating impossible datasets. How to use SOTA foundation models for data reasoning and LLM-as a-Judge to accelerate data pipelines throughput whilst maintaining quality. Tune in to learn future-proof principles for combining AI model efficiency with human-in-the-loop quality control to build large-scale high-quality datasets fast.

Join us for an exclusive webinar featuring Pickle Robot and Encord, two AI-driven robotics and automation pioneers. In this session, we’ll explore how cutting-edge machine learning and robotics solutions are transforming industries, from streamlining warehouse operations to enhancing computer vision training pipelines. Discover: How Pickle Robot is innovating robotic automation in material handling. How Encord accelerates AI model development with advanced data annotation and management tools. Key challenges and opportunities in AI-driven automation. Insights into the future of robotics and scalable AI technologies. Whether you're an AI enthusiast, a robotics professional, or simply curious about the latest advancements, join us for an interactive session to learn how data, AI, and hardware can combine to aid human activity.

DeepSeek’s R1 model has shocked both the public markets and the AI community, delivering state-of-the-art reasoning at 30x the cost-efficiency with comparable frontier models. Join Dr Frederik Hvilshoj (PhD in AI) and Eric Landau (Co-founder/CEO at Encord) for: An explanation of how Deepseek utilises novel Reinforcement Learning (RL) techniques A live demo of a Data Reasoning Agent utilising DeepSeek R1 Spaces are limited - sign up now to avoid missing out!