Panels and interactive sessions, designed to engage the audience in dialogue, debate, and discovery.
How the integration of text, image, video, audio, and sensor data is creating models with broader context, richer reasoning, and new applications and what challenges remain in training, scaling, and evaluation.
Beyond single-shot LLM outputs: the design patterns, orchestration frameworks, and memory systems behind autonomous and semi-autonomous AI agents.
A deep dive into post-transformer architectures, multimodal foundation models, and AI agents. What's coming after today's dominant systems, and how it will reshape industries.
Advances in model compression, hardware acceleration, and distributed training that reduce costs and carbon footprint while expanding capabilities.
Cutting-edge methods to make AI more transparent, steerable, and reliable, from mechanistic interpretability to real-time guardrails.
Lessons from organizations that have successfully embedded AI into core workflows, covering ROI, change management, and scaling strategies.
How AI is reshaping drug discovery, diagnostics, patient care, and operational efficiency and the regulatory and ethical considerations.
AI is transforming every job, from the boardroom to the front line. This panel brings together industry leaders, educators, labor experts, and AI technologists to explore the future of work in the age of intelligent systems.
How governments, institutions, and industry are shaping rules for governing AI, and what this means for organizations.
From seed-stage breakthroughs to multi-billion dollar valuations, AI startups are attracting unprecedented capital but the funding landscape is shifting. This panel brings together top founders, venture capitalists, corporate investors, and accelerators to discuss how to secure funding, build a competitive moat, and navigate today's tighter market conditions.