Optimised for you
Production agents, software engineering, founder signal.
I’ve prioritised sessions that can materially help with Evidia, enterprise agent architecture, production reliability, coding agents and local inference — not generic “AI is changing everything” content.
Must seeStrong pickConflict alternatives included
Conflict-free route
My recommended schedule
09:50
Mainstage Strong pick · 82
The Next AI Era: Trusted Systems, Sovereign Infrastructure, and the Developers Building Them
Mark Papermaster — AMD
Why I recommend it
A useful architecture-level opener on trusted systems, infrastructure and the developer layer. 11:50
Mainstage Must see · 98
The State of Agent Development: Owning Your Intelligence
Harrison Chase — LangChain
Why I recommend it
One of the clearest fits: agent architecture, agent ownership and the direction of the ecosystem directly overlap with Evidia and your enterprise-agent work. Prefer this over the engineering-productivity workshop unless you specifically want Anthropic/JetBrains implementation practice.
12:10
Build AI Strong pick · 87
Craft Is the Differentiator
Itay Schiff — Figma Weave
Why I recommend it
A good product/design complement to the technical sessions, especially given how much leverage you place on Evidia UX. 12:30
Build AI Must see · 100
Scaling AI Beyond Models: Engineering Reliable, Production-Ready Systems
Meryem Arik — Doubleword AI · Panley Cooze — RunPod +2
Why I recommend it
This is exactly the difficult engineering around models that you care about: production reliability, serving and systems rather than demos. 13:10
Pathfounders Strong pick · 80
Founder & VC Fireside — Kirsten Connell
Kirsten Connell — Octopus First Cheque Fund
Why I recommend it
A compact founder/investor perspective before lunch; useful without sacrificing a large technical block. 14:30
Build AI Must see · 97
Your Processes Were Never Built for Agentic AI
Jakob Freund — Camunda
Why I recommend it
Directly applicable to workflow redesign for autonomous agents and enterprise process architecture. 14:50
Build AI Must see · 100
Prototype to Production: Making LLMs Work at Scale
Yuval Dvir — SandboxAQ · Thomas Trinelle — Gradium +1
Why I recommend it
Probably the most directly useful technical session for taking LLM systems from impressive prototypes to dependable products. 15:30
Build AI Strong pick · 89
What the Most Advanced Companies and Departments Are Doing with AI App Building
Matt Bauman — Base44
Why I recommend it
Useful benchmark for both Evidia and your internal AI-product work: what sophisticated teams are actually building. 15:50
Pathfounders Must see · 96
The Next Wave of Value Creation in AI Inference
Meryem Arik — Doubleword AI
Why I recommend it
Extremely aligned with your local-inference work and interest in serving economics, performance and where inference value is moving. 17:10
Mainstage Strong pick · 84
Building Safe AI Systems in an Unsafe World
Zico Kolter — OpenAI / CMU
Why I recommend it
A strong end-of-day counterweight to the builder-heavy programme: technical safety from a highly relevant researcher. 17:30
Event Strong pick · 88
Close of Day One & Networking WAIW Events Commence
Speaker / title not yet published
Why I recommend it
Protect this time. For you, conversations with AI builders, founders and infrastructure people may be more valuable than another generic talk. If your mood changes
Best alternatives
11:50
30m
Workshop 1 Strong pick · 94
AI That Delivers: Real-World Best Practices for Engineering Productivity
Ciara Byrne — JetBrains · Daisy Hollman — Anthropic
Why I recommend it
Very relevant to how you actually work with coding agents and engineering productivity; the main trade-off is that it clashes with Harrison Chase. Excellent alternative to the LangChain keynote.
15:50
Build AI Strong pick · 94
Building Reliable AI Agents at Philips Hue
Mohamed Elkady — Philips Hue / Signify
Why I recommend it
Concrete reliability lessons from a real agent deployment are unusually valuable for your current work. 12:30
AI Labs Strong pick · 92
Beyond Benchmarks: Evaluating and Deploying Robust Foundation Models
Aaron Delp — Mistral AI · Ana Lucic — University of Amsterdam +1
Why I recommend it
Excellent alternative if you want a model-centric block: evaluation, robustness and deployment with Mistral represented. Alternative to “Scaling AI Beyond Models” at the same time.
14:30
30m
Workshop 2 Strong pick · 92
Building End-to-End Agentic Workflows with Enterprise-Grade Controls
Senthil Sevugan — Writer
Why I recommend it
A practical enterprise-agent alternative to Camunda: end-to-end workflows plus controls is directly applicable to regulated products. Alternative to “Your Processes Were Never Built for Agentic AI”.