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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Matching moments
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Shaping the future of AI in software development
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Developing the essential human skills for AI leadership
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Using AI to make work more human, not replace humans
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Navigating the impact of AI on developer relations
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Final takeaways for leaders on the AI skill gap
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