Ming Wu, Alexander Birke, Benjamin Perlzweig & Emmanuel Viale

Leading efficiency, empathy, and the human experience with AI

Your team won't be replaced by AI—they'll be joined by it. Learn how to lead the fundamental shift toward human-AI collaboration.

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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From learning to earning

Jobs that call for the skills explored in this talk.

AI Engineer

AI Engineer

Cognizant
Charing Cross, United Kingdom

GIT
Azure
Python
PyTorch
TensorFlow
+3