The AI Summit
New York

Next Generation focuses on cutting-edge AI innovation, experimentation, and the future of intelligent systems. This stage explores how researchers, engineers, and builders are pushing the boundaries of AI capabilities through emerging models, architectures, tools, hardware, and research-driven breakthroughs.

Sessions should showcase forward-thinking ideas, experimental approaches, and next-generation technologies shaping the future of AI. We are particularly interested in technically deep, innovation-led content that highlights novel methodologies, frontier research, advanced engineering challenges, and future-facing applications across the AI ecosystem.

Applied AI focuses on how AI systems act, decide, and automate workflows in real-world environments. This stage explores the development and deployment of intelligent systems, including Generative AI, agentic AI, copilots, orchestration frameworks, and multi-agent architectures.

Sessions should showcase practical approaches to building scalable, reliable, and human-centric AI systems, with a focus on tooling, frameworks, governance, integration, and operational deployment. We are particularly interested in technically credible, practitioner-led content that demonstrates real-world implementation, measurable outcomes, and lessons learned from deploying AI systems at scale.

Data Excellence focuses on the foundations that enable scalable, enterprise-ready AI systems. This stage explores how organisations structure, govern, manage, and operationalise data to power AI, LLMs, and intelligent systems effectively at scale.

Sessions should showcase practical approaches to building AI-ready infrastructure, including scalable data platforms, data quality, governance, lineage, orchestration, observability, and real-world implementation strategies. We are particularly interested in technically credible, practitioner-led content that demonstrates measurable impact, lessons learned, and actionable insights for enterprise AI and data teams.