The TWIML AI Podcast cover art

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. —
    Greg Mulholland

    AI for Materials Discovery with Greg Mulholland - TWiML Talk #148 · Jun 2018

    0 votes
  2. —
    Gregg Willcox

    Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299 · Sep 2019

    0 votes
  3. —
    Gunnar Carlsson

    Topological Data Analysis with Gunnar Carlsson - TWiML Talk #53 · Oct 2017

    0 votes
  4. —
    Gurdeep Pall

    The Future of Autonomous Systems with Gurdeep Pall - #450 · Jan 2021

    0 votes
  5. —
    Gustavo Malkomes

    Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505 · Jul 2021

    0 votes
  6. —
    Hal Daumé III

    Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395 · Jul 2020

    0 votes
  7. —
    Hanbyul Joo

    Can We Train an AI to Understand Body Language? with Hanbyul Joo - TWIML Talk #180 · Sep 2018

    0 votes
  8. —
    0 votes
  9. —
    Hanna Wallach

    Fairness in Machine Learning with Hanna Wallach - TWiML Talk #232 · Feb 2019

    0 votes
  10. —
    Haytham AbuelFutuh

    Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare - #343 · Jan 2020

    0 votes
  11. —
    Heather Gorr

    Deploying Edge and Embedded AI Systems with Heather Gorr - #655 · Nov 2023

    0 votes
  12. —
    Heather Nolis

    Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600 · Nov 2022

    0 votes
  13. —
    Herman Kamper

    Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191 · Oct 2018

    0 votes
  14. —
    Hilary Mason

    Hilary Mason - Building AI Products - TWiML Talk #11 · Jan 2017

    0 votes
  15. —
    Hillery Hunter

    Scalable Distributed Deep Learning with Hillery Hunter - TWiML Talk #77 · Dec 2017

    0 votes
  16. —
    Hima Lakkaraju

    AI for High-Stakes Decision Making with Hima Lakkaraju - #387 · Jun 2020

    0 votes
  17. —
    Hugo Larochelle

    Towards Improved Transfer Learning with Hugo Larochelle - #631 · May 2023

    0 votes
  18. —
    Huiji Gao

    Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481 · May 2021

    0 votes
  19. —
    Hung Bui

    High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753 · Oct 2025

    0 votes
  20. —
    Hussein Mehanna

    Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna - #306 · Oct 2019

    0 votes
  21. —
    Ian Goodfellow

    Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang · Mar 2018

    0 votes
  22. —
    Ilia Baranov

    Intelligent Autonomous Robots with Ilia Baranov - TWiML Talk #27 · Jun 2017

    0 votes
  23. —
    Ilias Diakonikolas

    High-Dimensional Robust Statistics with Ilias Diakonikolas - #351 · Feb 2020

    0 votes
  24. —
    Ilkka Korhonen

    Physiology-Based Models for Fitness and Training w/ Firstbeat with Ilkka Korhonen - TWiML Talk #106 · Feb 2018

    0 votes
  25. —
    Ines Montani

    Practical Natural Language Processing with spaCy and Prodigy w/ Ines Montani - TWiML Talk #262 · May 2019

    0 votes
  26. —
    Inmar Givoni

    Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! w/ Inmar Givoni - Talk #101 · Jan 2018

    0 votes
  27. —
    Iordanis Kerenidis

    Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397 · Aug 2020

    0 votes
  28. —
    Irene Chen

    Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479 · Apr 2021

    0 votes
  29. —
    Irwan Bello

    Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569 · Apr 2022

    0 votes
  30. —
    JJ Espinoza

    Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220 · Jan 2019

    0 votes
  31. —
    Jabran Zahid

    Using AI to Map the Human Immune System w/ Jabran Zahid - #485 · May 2021

    0 votes
  32. —
    Jack Berkowitz

    Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543 · Dec 2021

    0 votes
  33. —
    Jacob Buckman

    Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750 · Oct 2025

    0 votes
  34. —
    Jacopo Tagliabue

    Live from TWIMLcon! You're not Facebook. Architecting MLOps for B2B Use Cases with Jacopo Tagliabue - #596 · Oct 2022

    0 votes
  35. —
    Jacqueline Nolis

    Dask + Data Science Careers with Jacqueline Nolis - #480 · May 2021

    0 votes
  36. —
    James Dreiss

    Document Vectors in the Wild with James Dreiss - TWiML Talk #183 · Sep 2018

    0 votes
  37. —
    James Guszcza

    Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56 · Oct 2017

    0 votes
  38. —
    James McCaffrey

    Understanding Deep Neural Nets with Dr. James McCaffrey - TWiML Talk #13 · Mar 2017

    0 votes
  39. —
    Jamie Macbeth

    Creating Robust Language Representations with Jamie Macbeth - #477 · Apr 2021

    0 votes
  40. —
    Jannis Born

    PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341 · Jan 2020

    0 votes

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