Leadership and AI

Explore a 21-minute talk on the critical importance of leadership in the age of AI. Discover why it's essential for leaders to take ownership of AI initiatives rather than delegating them solely to technical departments. Learn about the necessity for leaders to understand AI models' strengths and weaknesses, their alignment with organizational goals, and potential shortcomings. Gain insights from historical examples of leaders who failed to embrace new technologies, and the resulting consequences. Understand key concepts like data labeling, algorithm development, and model training, and how they relate to leadership responsibilities. Recognize AI as a fundamental business practice rather than an exotic tool, and learn how to effectively communicate your vision to technical teams. Dive into topics such as the significance of data quality, hands-on involvement, experimentation, and coaching in AI leadership.

Intro
Why I care
AI is too important
AI is only as good as data
Getting your hands dirty
Being stupid
Experiment
Getting to the decision maker
Coaching