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Building Visual AI in the Enterprise Workshop

March 27, 2025 | 9 AM Pacific

 

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About the Workshop

Want to take your computer vision workflows to the next level? Then this workshop is for you! Join us for 90 minutes as we demonstrate the full power of the enterprise FiftyOne platform so your teams can deploy visual AI applications faster, with comprehensive visibility and control.

You will learn how to:

  • Visualize, manage, and augment datasets no matter where they reside

  • Streamline development of datasets and models with out-of-the-box workflows

  • Collaborate easily with team members across your organization

  • Orchestrate and automate compute-heavy tasks directly within FiftyOne

  • Extend FiftyOne’s capabilities with plugins and operators

  • Enforce data governance and security best practices across your AI toolchain

All attendees will get access to the tutorials, videos, and code examples used in the workshop.

 

Prerequisites

Familiarity with basic computer vision concepts and enterprise AI/ML development workflows.

FiftyOne Teams Features

 

Team Collaboration

Collaborate easily and securely with your teams by sharing entire datasets, individual samples, dataset views, and even analysis results. Configure user groups and roles to control access to datasets for individuals and teams.

 

Data Lens

Get fast data discovery from external data sources. If you’re looking to augment your dataset with specific samples, Data Lens unlocks direct access to your data source (e.g. Databricks, PostgreSQL) to search through billions of visual data within seconds. Preview samples, select interesting ones, and import them directly into FiftyOne.

 

Evaluate Model Performance

Execute model evaluation and analyze performance. Compare models, examine poor-performing samples, and uncover data inadequacies to improve model performance.

About the Instructor

Nick Lotz

Technical Marketing Engineer

Nick Lotz is a Technical Marketing Engineer at Voxel51 who enjoys helping engineers understand their tools. He is particularly interested in bringing observability and security to all layers of the AI stack. When he’s not at his desk, you’ll likely find Nick outdoors hiking around with his Labrador retriever.

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Nick Lotz

Technical Marketing Engineer