Ken's Nearest Neighbors

Ken Jee
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.

  1. 21 OCT

    How Can Data Teams Get Out of Their Own Way (Alex Gold) - KNN Ep. 196

    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 role that DevOps plays in the data domain. Book: https://www.routledge.com/DevOps-for-Data-Science/Gold/p/book/9781003213345(You can use Code AFLY04 for a 20% discount)Alex's Links:LinkedIn - htt...

    59 min

  2. 21 OCT

    How She Went From Analytics Executive to Solopreneur (Serena Huang PhD) - KNN Ep. 195

    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 solopreneur and speaker. Serena's Links: Her LinkedIn: https://www.linkedin.com/in/serenahhuangphd/Her Thought leadership program - apply here https://www.datawithserena.com/tla Her Firs...

    1 h y 15 min

  3. 6 AGO

    The Journey of a Non-Technical Founder in a Data Company (Jake Schuster) - KNN Ep. 194

    Today I had the pleasure of interviewing Jake Schuster. Jake is the CEO of Gemini Sports Analytics, a company that is making it easier for college and professional sports teams to leverage data into insight. Jake came from a sports science background, and found that his own pain point was making the data he was collecting into something actionable for the teams. In this episode, we talk about the challenges sports teams face and the challenges that Jake faced as a non-technical founder. ...

    52 min

  4. 8 JUL

    Inside New York's Most Exclusive Data Community (Derek Larson) - KNN Ep. 193

    Today I had the pleasure of interviewing Derek Larson. Derek runs New York AI, an exclusive community for data people in New York. Derek also started Kin, a company that designs useful tools for local communities. In this episode we learn how important communities are for innovation, where AI is going based on what he is seeing in his communities, and much more! Podcast Sponsors, Affiliates, and Partners:- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free...

    51 min

  5. 11 JUN

    4X Kaggle GM Shares His Surprising Secret to Success in Competitions (Chris Deotte) - KNN Ep. 192

    Today I had the pleasure of interviewing Chris Deotte. He is a member of NVIDIA's KGMON Team (Kaggle Grandmasters of NVIDIA), and one of the greatest kaggle grandmasters of all time. He has been previously ranked first in Discussions, Notebooks, and Datasets. Currently he is ranked 11th in competitions and has been ranked as high as 4th. Chris also has an immense love for sports and board games. He has worn all sorts of hats throughout his life and he believes that all of them have helped him...

    50 min

  6. 17 MAY

    The Crappiest Data Company I've Ever Heard Of (Scott Hickle) - KNN Ep. 191

    Today I had the pleasure of Interviewing Scott Hickle. Scott is the co-founder of Throne Science, an innovate company that is looking to measure and evaluate our waste. In the episode we learn about the comical origins of the idea behind Throne, the value of tracking our data, and the importance of N=1 experimentation. Scott's Links:Twitter - https://twitter.com/ScottHickleThrone - https://www.thronescience.com/Podcast Sponsors, Affiliates, and Partners:- Pathrise - http://pathrise.com/K...

    56 min

  7. 10 MAY

    Caribbean Data Scientist Explains How to Go Out and Get Your Career (Mark Moyou) - KNN Ep. 190

    Today, I had the pleasure of interviewing Mark Moyou. Mark is a Senior Data Scientist and the host of the AI portfolio podcast and the Caribbean Tech Pioneers podcast. He grew up in Trinidad and Tobago, and his work is deeply inspired by his family and upbringing there. In this episode, we dive into how he landed his first job in the States, what makes a successful data scientist, how to make meaningful connections, and how work at a large company is different than his previous jobs. Po...

    1 h y 14 min

  8. 1 MAY

    Lessons from Teaching in North Korea for 4 Years (Andrew Kemp) - KNN Ep. 189

    Today I had the pleasure of interviewing Andrew Kemp. Andrew is the head of product marketing for data science and AI at Z by HP. Andrew recruited me into the Z by HP global ambassador program and is responsible for its creation. In this episode we learn about his experience teaching in North Korea for 4 years as well as how the landscape of hardware and community is changing. Podcast Sponsors, Affiliates, and Partners:- Pathrise - http://pathrise.com/KenJee | Career mentorship for job a...

    35 min
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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.

Información

  • Creador
    Ken Jee
  • Años de actividad
    2020 - 2024
  • Episodios
    197
  • Clasificación
    Apto
  • Copyright
    © 2024 Ken's Nearest Neighbors
  • Mostrar sitio web
    Ken's Nearest Neighbors

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