Practical approaches for the "Internet of AI" with Edge Compute, Siloed Data, Agents and Data Markets
Decentralized AI offers an alternative to today's centralized AI landscape by enabling collaboration between diverse entities through network-based approaches. While current AI shows promise in tackling large-scale challenges, decentralized systems could better handle distributed data across healthcare, climate science, and supply chains. Key opportunities include enhancing privacy, ensuring verifiability, aligning incentives, enabling orchestration, and improving user experience. This approach promotes an inclusive and resilient AI future where entities can collaborate while achieving their individual goals.
Discussion Areas
How can we better collaborate on the development of AI? Join us for a focused discussion on the practical challenges and opportunities in building Decentralized AI systems.
Technical experts and researchers will lead conversations on current challenges in Decentralized AI systems, sharing real-world experiences and practical insights. The following working groups will participate in discussions on
- Privacy Standards
- Orchestration Standards
- Agentic AI
Why Participate:
This event is for Technical leaders, AI practitioners, and researchers who are working on distributed systems and AI developments.
You can share your experiences, learn from peers, and contribute to practical discussions on making AI development more collaborative and efficient. This roundtable focuses on real challenges and actionable approaches.