RAISE Summit 2025: The AI Evolution Open Source, Fast Inference, and the Agentic Revolution

The session explores the transformative dynamics shaping the AI landscape where open-source innovation and proprietary advancements collide. Central to this evolution is the convergence of AI models, computing hardware, and data governance, which are emerging as the critical arenas for competitive advantage and strategic differentiation. Leaders must contend with the implications of agentic AI—autonomous systems capable of executing complex workflows—signaling a shift toward more automated and intelligent enterprise and consumer applications.

The discussion offers a rigorous analysis of how emerging AI chips and energy-efficient processors are integral to enabling faster, real-time inference, particularly at the network edge. This is complemented by an emphasis on the growing importance of data privacy, ownership, and control, driving enterprises to increasingly favor open-source models that offer transparency and adaptability. The panel underscores the necessity for organizations to pivot toward smaller, smarter AI models that maximize operational efficiency while maintaining robust data governance frameworks.

• The strategic interplay between open-source and proprietary AI models as the new competitive frontier.
• Innovations in AI hardware fundamentally altering deployment scales and speeds.
• The rise of agentic AI as a paradigm shift toward automated, adaptive workflows in diverse contexts.
• Data governance issues—privacy, ownership, and control—fuelling open-source AI adoption in enterprises.
• Urgency for enterprises to integrate agentic AI workflows or risk competitive obsolescence.