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Starts 1 July 2025 21:21

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How We Democratize AI with Linux Foundation Open Source

Join us for an insightful exploration of how the Linux Foundation is leading the charge in democratizing artificial intelligence. Through innovative open-source projects like Acumos AI, participants can engage with visual workflows for AI design, creating a seamless integration of AI technologies across diverse industries. Learn how Acumos AI.
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Overview

Join us for an insightful exploration of how the Linux Foundation is leading the charge in democratizing artificial intelligence. Through innovative open-source projects like Acumos AI, participants can engage with visual workflows for AI design, creating a seamless integration of AI technologies across diverse industries.

Learn how Acumos AI facilitates the sharing and deployment of AI models, transforming the way industries utilize intelligent designs. This event provides valuable insights into the intersection of AI and open-source initiatives, making advanced AI technology accessible to all.

Syllabus

  • Introduction to AI Democratization
  • Definition and Importance
    Role of Open Source in AI
    Overview of Linux Foundation's Mission
  • Overview of Acumos AI
  • History and Development
    Key Features and Capabilities
    Impact on AI Democratization
  • Visual Workflows for AI Design
  • Introduction to Visual Workflows
    Benefits of Visual Design for AI Models
    Case Studies and Examples
  • Acumos AI Platform
  • Setting Up and Getting Started
    Tools and Interfaces
    Building and Deploying AI Models
  • Sharing AI Models Across Industries
  • Acumos Marketplace Overview
    Collaboration and Community Building
    Real-world Use Cases
  • Ethical and Social Considerations
  • Implications of Democratizing AI
    Ensuring Responsible Open Source AI
    Addressing Bias and Fairness
  • Future Directions and Innovations
  • Emerging Trends in Open Source AI
    Linux Foundation's Ongoing Projects and Initiatives
    Predictions and Opportunities
  • Conclusion and Next Steps
  • Recap of Key Learnings
    How to Get Involved in Open Source AI
    Additional Resources and Learning Paths

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