We're opening our call for papers for an upcoming in person event and want to hear from practitioners who have built, broken, and fixed real things. No theory only talks, include lessons learnt.

What we're looking for

• AI and machine learning in production, including the parts that didn't work
• Software and system design, and the trade-offs behind the decisions
• Cloud and Azure architecture, platform engineering, and scaling lessons
• Startup and founder stories with real technical depth

If your talk includes "it depends" and you can explain why, you're our kind of speaker.

Format for In person meetup

• In Person in London
• 30-45 minutes plus Q&A
• First-time speakers welcome (we provide guidance)
• We accept all international speakers

Not a fit

• Product demos or sales pitches
• Generic "intro to X" talks with no production context
• Hype-driven AI with nothing under the hood