London

June 2–3, 2026

New York

September 15–16, 2026

Berlin

November 9–10, 2026

Search results

Video
Building ethical AI: Transparency, bias mitigation, and trust
Explore how to build trustworthy, human-centered AI by prioritizing transparency and effectively mitigating bias, discrimination, and ethical risks.
Video
From Prompt to Production: Making AI Work in Your Development Flow
Discover how to move beyond prompt experiments and design AI-first workflows that boost developer productivity and collaboration.
Video
From hallucinations to hard truths: Real lessons in production AI
Learn crucial lessons from a year of scaling AI in FinTech: what broke, what burned, and what we'd do differently.
Contributor
Raz Schweiger-Shuty
Video
All of this has happened before
A mother-daughter conversation revealing how past tech trends mirror today’s AI hype and what we can learn.
Video
Tackling tech debt
A seasoned CTO shares strategies and lessons on identifying, communicating, and effectively tackling tech debt across diverse companies.
Video
Leading without committing: Managing teams outside your tech stack
Learn how to lead engineering teams outside your expertise by building trust, enabling growth, and empowering without micromanaging.
Video
Beyond the code: hiring for cultural alignment
Learn strategies to assess cultural alignment in engineering hiring, balancing technical skills with authentic evaluation of team fit.
Video
Estimation is a waste of time
Learn to replace inaccurate estimates with data-driven probabilistic forecasting, dramatically improving delivery predictability and stakeholder relationships.
Video
No one needs me (and that’s the point)
Learn how to build autonomous teams that thrive without you, so you can focus on higher-impact leadership work.