Is this your podcast?
Sign up to track ranks and reviews from Spotify, Apple Podcasts and more
Ken's Nearest Neighbors
The Ken's Nearest Neighbors Podcast is about telling the unique stories of the people in the data and AI space. In highly technical fields, we often lose sight of the individuals who are making the positive change. The podcast focuses on who these people are and how they have approached the big decisions in their life that shaped their world view and career. While the podcast is centered on a technical domain, the conversations often touch on personal philosophy, the pursuit of meaning, and how we define success in our career and lives.
Listen now
Ratings & Reviews
5.0 stars from 36 ratings
Incisive questions
Ken does a great job asking asking incisive questions, and keeping the listener engaged by flowing the conversation into a compelling story.
mdubez via Apple Podcasts · United States of America · 10/25/23
Great interviews
The guests are always interesting and I like to hear about their different career paths
woahhlaura via Apple Podcasts · United States of America · 02/16/22
Great podcast
Great podcast with lots of helpful insights! Every episode has a great guest :) I totally recommend it everyone who is thinking about working in data science field :)
joannasowa via Apple Podcasts · Poland · 10/12/21
Recent Episodes
Today, I had the pleasure of interviewing Dr. Serena Huang. She is one of the leaders in the field of people analytics. In this episode, we dive deep into what people analytics are and how companies are evaluating their workforce with data. We also touch on her transition from executive to...
Published 10/21/24
Today I had the pleasure of interviewing Alex Gold. Alex is the Director of Solutions Engineering + Support at posit and author of DevOps for Data Science. In this episode we talk about Alex's experience working in data for presidential campaigns, his experience in solutions engineering, and the...
Published 10/21/24
Published 10/21/24
Do you host a podcast?
Track your ranks and reviews from Spotify, Apple Podcasts and more.