Ming Wu, Alexander Birke, Benjamin Perlzweig & Emmanuel Viale
Leading efficiency, empathy, and the human experience with AI
#1about 5 minutes
Balancing AI efficiency with human-centric values
Adopting a people-centric approach to AI ensures technology serves as a collaborative partner rather than just a tool for aggressive productivity gains.
#2about 8 minutes
The future of AI as a colleague in the workplace
AI is evolving from a task-based tool to a collaborative agent with a virtual job title, changing roles like software development into agent orchestration.
#3about 7 minutes
Best practices for individuals using agentic AI
Individuals should focus on uniquely human skills like critical thinking and continuous learning to effectively collaborate with and verify the output of AI agents.
#4about 8 minutes
Organizational strategies for successful AI adoption
Organizations should implement AI with a holistic change management approach that includes reskilling, measuring developer joy, and involving people to build trust.
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Shaping the future of AI in software development
Developer Experience in the Age of AI
05:19 MIN
Developing the essential human skills for AI leadership
Management in times of Agentic AI - The Human Premium
06:53 MIN
Navigating the impact of AI on developer relations
The Strategic Power of DevRel: From Community to Business Impact
02:40 MIN
Lightning round on future skills and AI trends
The AI-Ready Stack: Rethinking the Engineering Org of the Future
01:32 MIN
Developing essential AI and human skills for modern teams
Breaking Silos: Successful Collaboration Between Tech & Business Teams in Complex Enterprise Systems
01:11 MIN
Final takeaways for leaders on the AI skill gap
The AI Skills Gap: What Tech Leaders Must Get Right
02:52 MIN
Envisioning hybrid teams and 90% AI-written code
Agents for the Sake of Happiness
01:48 MIN
Why AI adoption requires deep HR and tech collaboration
HR & Tech: Why can't we be friends?
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Ai-driven


Neural Concept
Lausanne, Switzerland
Machine Learning