Full Schedule

3 Days of Groundbreaking AI Content

September 18–20, 2025  ·  San Francisco, CA
60+ Sessions
·
Research
Engineering
Business
Ethics
Conference Program

Three Days of Breakthroughs

Explore cutting-edge sessions across research, engineering, business, and ethics — curated for the world's leading AI minds.

Research
Engineering
Business
Ethics
8:00 AM
60 min
✦ Opening Keynote
The Dawn of Artificial General Intelligence: Are We Ready?
Dr. Aisha Okonkwo · Chief AI Scientist, DeepMind Labs
An electrifying opening address examining the convergence of large-scale reasoning models and real-world deployment, and what it truly means for humanity's next chapter.
Main Stage
9:15 AM
45 min
Scaling Laws Revisited: Beyond Chinchilla Optimality
Prof. Lena Müller · Stanford HAI
A rigorous re-examination of compute-optimal training regimes and what new empirical evidence reveals about the future of foundation model scaling.
Research · Hall A
10:15 AM
45 min
Building Production-Grade LLM Pipelines at Scale
Marcus Chen · Principal Engineer, Anthropic
A practical deep-dive into orchestration frameworks, latency optimization, and reliability patterns for deploying LLM-powered products to millions of users.
Engineering · Hall B
11:15 AM
45 min
From Pilot to P&L: Monetizing AI Across the Enterprise
Priya Nair · VP of AI Strategy, McKinsey & Company
How Fortune 500 companies are moving beyond AI experiments to build measurable, board-level value across operations, customer experience, and product lines.
Business · Hall C
12:15 PM
75 min
🍽️
Lunch Break & Sponsor Expo
Atrium & Exhibition Hall — networking with 80+ exhibitors
1:45 PM
45 min
Algorithmic Accountability: Who Owns the Decision?
Dr. James Osei · AI Policy Lead, EU Commission
A critical examination of emerging regulatory frameworks and the ethical obligations of AI developers when autonomous systems make high-stakes decisions.
Ethics · Hall D
3:00 PM
45 min
Multimodal Reasoning: Teaching Models to See, Hear, and Think
Dr. Yuki Tanaka · Research Scientist, Google DeepMind
Exploring the latest breakthroughs in unified multimodal architectures that process vision, audio, and language within a single coherent reasoning framework.
Research · Hall A
5:00 PM
60 min
🥂
Welcome Reception & Networking Cocktails
Rooftop Terrace — open bar, canapés, and curated founder-investor introductions
Download Full Schedule PDF
Schedule subject to change · All times in Pacific Time (PT)
Program Highlights

Conference Tracks

Four curated learning paths designed to meet you where you are — whether you're pushing the boundaries of research or driving AI adoption across your organization.

Track 01

AI Research & Breakthroughs

Dive deep into the latest advances in foundation models, reinforcement learning, and multimodal AI with presentations from leading researchers at top institutions and labs. Attendees will gain firsthand insight into the discoveries and methodologies that are redefining what artificial intelligence can achieve.

LLMs Reinforcement Learning Multimodal AI
Track 02

Engineering & MLOps

Explore the full lifecycle of production-grade AI systems — from model training pipelines and experiment tracking to scalable deployment, monitoring, and continuous retraining strategies. You'll leave with practical frameworks and tooling knowledge to ship reliable ML systems faster and at scale.

MLOps CI/CD for ML Deployment
Track 03

AI in Business & Strategy

Learn how forward-thinking executives and product leaders are integrating AI to unlock new revenue streams, streamline operations, and build sustainable competitive advantages. This track bridges the gap between technical capability and strategic execution, with real-world case studies from industry leaders across sectors.

AI Strategy ROI Case Studies
Track 04

AI Ethics & Governance

Engage with policymakers, ethicists, and AI safety researchers tackling the most pressing questions around bias, transparency, accountability, and the responsible deployment of AI at scale. Attendees will walk away with actionable governance frameworks and a clearer understanding of the evolving global regulatory landscape.

Responsible AI Policy AI Safety

Not sure which track is right for you? Browse the full schedule to mix and match sessions.

View Full Schedule →
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