Join us for the Applied AI & Machine Learning Summit 2026 — three days of deep, practical sessions on shipping machine-learning systems that actually run in production.

From graph neural networks to high-throughput data pipelines and inference at scale, you’ll learn from engineers and researchers who build these systems every day. Expect hands-on talks, live demos, and plenty of hallway-track networking.

• 3 full days, 6+ deep-dive sessions
• World-class speakers from DeepGraph Labs, ScaleStack & InferenceIO
• VIP access, workshops and networking lounge

• 14 Sep Day 1 — Foundations
• 15 Sep Day 2 — Systems
• 16 Sep Day 3 — Scaling & Wrap-up

9:00 am - 10:00 am Main Hall

Opening Keynote: The State of Applied AI

Where applied ML is heading in the next 3 years.

Dr. Amelia Hart

10:30 am - 12:00 pm Room A

Graph Neural Networks in Production

Design, train and deploy GNNs at scale.

Dr. Amelia Hart

Marcus Bell

9:30 am - 11:00 am Room B

High-Throughput Data Pipelines

Stream-first architectures for ML workloads.

Marcus Bell

1:00 pm - 2:30 pm Room A

Developer Experience for ML Tooling

Make inference APIs a joy to build against.

Priya Nair

10:00 am - 11:30 am Main Hall

Scaling to Millions of Requests

Cache, batch and scale from prototype to production.

Dr. Amelia Hart

Marcus Bell

2:00 pm - 3:30 pm Lounge

Closing Panel & Networking

Q&A with all speakers, then open networking.

Dr. Amelia Hart

Marcus Bell

Priya Nair