The TWIML AI Podcast

Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.

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Every guest on The TWIML AI Podcast

677 guests, ranked by how many people never want them back.

1. —
   Parinaz Sobhani

   Trust and AI with Parinaz Sobhani - TWiML Talk #208 · Dec 2018

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2. —
   Parvez Ahammad

   Agile Applied AI Research with Parvez Ahammad - #492 · Jun 2021

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3. —
   Pascale Fung

   Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9 · Nov 2016

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4. —
   Pat Woowong

   How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175 · Aug 2018

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5. —
   Patricia Thaine

   Ensuring Privacy for Any LLM with Patricia Thaine - #716 · Jan 2025

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6. —
   Patrick Heimbach

   Differentiable Programming for Oceanography with Patrick Heimbach - #557 · Jan 2022

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7. —
   Paul Mahler

   cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler - TWiML Talk #254 · Apr 2019

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8. —
   Paul Tepper

   AI-Powered Conversational Interfaces with Paul Tepper - TWiML Talk #52 · Oct 2017

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9. —
   Pavan Turaga

   Trends in Computer Vision with Pavan Turaga - #444 · 2 episodes

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10. —
    Penousal Machado

    Evolution and Intelligence with Penousal Machado - #459 · Feb 2021

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11. —
    Peter Hase

    Localizing and Editing Knowledge in LLMs with Peter Hase - #679 · Apr 2024

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12. —
    Peter Mattson

    Benchmarking ML with MLCommons w/ Peter Mattson - #434 · Dec 2020

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13. —
    Peter Wittek

    Pragmatic Quantum Machine Learning with Peter Wittek - TWiML Talk #245 · Apr 2019

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14. —
    Phoebe DeVries

    Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311 · Oct 2019

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15. —
    Pieter Abbeel

    Reinforcement Learning for Industrial AI with Pieter Abbeel - #476 · 2 episodes

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16. —
    Prashant Warier

    Pragmatic Deep Learning for Medical Imagery with Prashant Warier - TWiML Talk #165 · Jul 2018

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17. —
    Prem Natarajan

    AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - #658 · Dec 2023

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18. —
    Prince Canuma

    Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744 · Aug 2025

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19. —
    Qazaleh Mirsharif

    Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif - TWiML Talk #144 · May 2018

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20. —
    Quoc Le

    Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366 · Apr 2020

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21. —
    Rachel Thomas

    Practical Deep Learning with Rachel Thomas - TWiML Talk #138 · May 2018

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22. —
    Rafael Gomez-Bombarelli

    Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558 · Feb 2022

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23. —
    Raja Chatila

    Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118 · Mar 2018

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24. —
    Ram Sriharsha

    Building and Deploying Real-World RAG Applications with Ram Sriharsha - #669 · Jan 2024

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25. —
    Randi Williams

    Teaching AI to Preschoolers with Randi Williams - TWiML Talk #225 · Jan 2019

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26. —
    Rashmi Shetty

    How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765 · Apr 2026

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27. —
    Rayid Ghani

    Real world model explainability with Rayid Ghani - TWiML Talk #283 · Jul 2019

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28. —
    Rebecca Bilbro

    Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro - TWiML Talk #264 · May 2019

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29. —
    Reza Zadeh

    Video Object Detection At Scale with Reza Zadeh - TWiML Talk #34 · Jul 2017

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30. —
    Richard Zemel

    Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209 · Dec 2018

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31. —
    Richard Zhang

    Visual Generative AI Ecosystem Challenges with Richard Zhang - #656 · Nov 2023

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32. —
    Rishabh Agarwal

    Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559 · Feb 2022

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33. —
    Robert Munro

    Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125 · Apr 2018

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34. —
    Robert Osazuwa Ness

    Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638 · 3 episodes

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35. —
    Roberto Bondesan

    Probabilistic Numeric CNNs with Roberto Bondesan - #482 · May 2021

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36. —
    Robin Braun

    AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755 · Nov 2025

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37. —
    Rochna Dhand
    0 votes

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38. —
    Roland Memisevic

    What’s Next in LLM Reasoning? with Roland Memisevic - #646 · 3 episodes

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39. —
    Romer Rosales

    Problem Formulation for Machine Learning with Romer Rosales - TWiML Talk #149 · Jun 2018

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40. —
    Ron Diamant

    Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720 · Feb 2025

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