Building a Strong Data Foundation in an AI World

AI is everywhere, but it can't succeed without the judgment, creativity, and collaboration of real data science. In this episode, Jess Carter sits down with Alexa Myers, senior data science manager at Resultant, for a conversation about building successful data science teams. They discuss how isolation can hinder even the most skilled data scientists, and what happens when organizations pursue outcomes without the right structure in place.  Alexa shares field-tested lessons on what works, where teams struggle, and why communication matters as much as technical skill. As AI takes center stage, this conversation highlights the kind of leadership and teamwork needed to make data science and the AI it supports truly effective. In this episode, you'll learn: What happens when AI is used without science Best practices for building strong data science teams How to talk about data science with executives and stakeholders Things to listen for: (00:00) Introduction to the episode with Alexa Myers (02:09) What data science is and why it's still misunderstood (05:07) The impact of AI in data science (10:12) What to consider when building a data science department (15:01) How to communicate effectively with stakeholders (18:24) Why human insight still matters (22:15) Mentorship and lessons from multi-generational teams (26:19) The next wave of AI and fixing broken AI solutions Study Finds AI Models Suffer 'Brain Rot' from Clickbait and Junk Data: https://www.instagram.com/p/DQKafFME7he/?igsh=MWQ3azRjNzAyNDBpbQ%3D%3D&img_index=1  Alexa's LinkedIn: https://www.linkedin.com/in/alexa-myers-b29099135/