Seeing what's next: Vision AI in 2027

​We’re bringing together leaders building computer vision across the Bay Area for an intimate dinner, good wine and an honest conversation about where vision AI is headed next year.

​CV is starting to get into production on factory floors, in autonomous driving, in operating rooms, and inside document pipelines. Heading into 2027, the question shifts towards the real world.

​What changes when VLMs, VLAs, and world models meet real-world edge cases? Where does human judgment still matter? How do you prove a model is ready to ship? Join peers to compare notes on what’s working, what’s breaking and what’s next.

​Small table, no slides, no pitches, sharp conversation. Just show up ready to dig in.

​Date: Wednesday, December 2
Time: 6:30pm – 9:00pm

• ​6:30–7:00pm: welcome drinks

• ​7:00pm onwards: dinner + casual conversation

​Location: Roka Akor, 801 Montgomery St, San Francisco

​Hosts:
Consti (constantin@encord.com)

​Laura (laura.zhu@encord.com)

​Encord:
Encord is the universal data layer for multimodal AI. ML teams use the platform to train, evaluate and run their models with the right data, by managing, curating, annotating and aligning it across the full AI lifecycle. Encord works with over 300 leading AI teams, including Toyota Research Institute, Agility Robotics, Cognex, Hitachi, etc.

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