Early in her career, Kristen thought dazzling stakeholders with complex formulas and statistical jargon was the way to earn credibility. Instead, she learned the hard way how quickly that approach can lose a room.

In this session, Kristen will share the lessons she wishes she’d known sooner, how to avoid the common pitfalls of presenting machine learning, and how to shift toward communication that resonates with decision-makers and customers alike.

What You'll Learn:

• How to earn trust faster — present your ML work in a way that business leaders actually understand and value.

• Turning models into impact — learn how to show outcomes and customer stories that demonstrate real business value.

• Career compounding skills — improve your ability to influence decisions, get buy-in, and be seen as more than “just technical.”

• A repeatable skill — learn an approach to presenting your work that you can rely on again and again, building confidence each time.