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. —
   Andrew Guldman

   Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239 · Mar 2019

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2. —
   Andrew Stein

   Computer Vision for Cozmo, the Cutest Toy Robot Everrrrr! with Andrew Stein - TWiML Talk #102 · Jan 2018

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3. —
   Andrew Trask

   Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241 · Mar 2019

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4. —
   Andrew Trister

   AI for Digital Health Innovation with Andrew Trister - #455 · Feb 2021

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5. —
   Angela Bassa

   Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294 · Aug 2019

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6. —
   Angie Hugeback

   Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6 · Sep 2016

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7. —
   Animesh Koratana

   Building an Immune System for AI Generated Software with Animesh Koratana - #746 · Sep 2025

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8. —
   Anna Ivanova

   Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620 · Mar 2023

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9. —
   Antje Barth
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10. —
    Anubhav Jain

    Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291 · Aug 2019

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11. —
    Arash Behboodi

    AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711 · 2 episodes

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12. —
    Aravind Rajeswaran

    MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442 · Dec 2020

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13. —
    Archana Venkataraman

    Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312 · Oct 2019

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14. —
    Armineh Nourbakhsh

    Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - #672 · Feb 2024

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15. —
    Artur Yakimovich

    Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411 · Sep 2020

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16. —
    Arul Menezes

    Innovating Neural Machine Translation with Arul Menezes - #458 · Feb 2021

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17. —
    Arun Kumar

    The New DBfication of ML/AI with Arun Kumar - #553 · Jan 2022

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18. —
    Ashutosh Saxena

    Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena - TWiML Talk #170 · Aug 2018

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19. —
    Atul Deo

    The Enterprise LLM Landscape with Atul Deo - #640 · Jul 2023

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20. —
    Atul Kale

    Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198 · Nov 2018

    0 votes

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21. —
    Audrey Smith

    Managing Data Labeling Ops for Success with Audrey Smith - #583 · Jul 2022

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22. —
    Auke Wiggers

    Advances in Neural Compression with Auke Wiggers - #570 · May 2022

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23. —
    Ayanna Howard

    How to Be Human in the Age of AI with Ayanna Howard - #460 · 3 episodes

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24. —
    Aydogan Ozcan

    Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237 · Mar 2019

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25. —
    Aza Jalalvand

    Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682 · Apr 2024

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26. —
    Babak Ehteshami Bejnordi

    Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385 · Jun 2020

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27. —
    Batu Arisoy

    Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281 · Jul 2019

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28. —
    Bayan Bruss

    Transformers On Large-Scale Graphs with Bayan Bruss - #641 · 2 episodes

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29. —
    Bee-Chung Chen

    Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200 · Nov 2018

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30. —
    Been Kim

    Studying Machine Intelligence with Been Kim - #571 · May 2022

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31. —
    Beidi Chen

    SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen - #356 · Mar 2020

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32. —
    Ben Green

    AI for Social Good: Why "Good" isn't Enough with Ben Green - #368 · Apr 2020

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33. —
    Ben Lorica

    Global AI Trends with Ben Lorica - TWiML Talk #26 · Jun 2017

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34. —
    Ben Prystawski

    Training Data Locality and Chain-of-Thought Reasoning in LLMs with Ben Prystawski - #673 · Feb 2024

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35. —
    Ben Vigoda

    The Power Of Probabilistic Programming with Ben Vigoda - TWiML Talk #33 · Jul 2017

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36. —
    Ben Wellington

    LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736 · Jun 2025

    0 votes

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37. —
    Bill Vass

    Synthetic Data Generation for Robotics with Bill Vass - #588 · Aug 2022

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38. —
    Blake Richards

    Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331 · Dec 2019

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39. —
    Bob Killen

    Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344 · Feb 2020

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40. —
    Brady Tsai
    0 votes

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