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. —
    Li Jiang

    Delivering Neural Speech Services at Scale with Li Jiang - #522 · Sep 2021

    0 votes
  2. —
    Lina Montoya

    Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506 · Aug 2021

    0 votes
  3. —
    Lotte Bransen

    Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296 · Sep 2019

    0 votes
  4. —
    Lucas García

    ML Models for Safety-Critical Systems with Lucas García - #705 · Oct 2024

    0 votes
  5. —
    Lucas Joppa

    AI for Earth with Lucas Joppa - TWiML Talk #228 · Feb 2019

    0 votes
  6. —
    Luciano Resende

    Scaling Jupyter Notebooks with Luciano Resende - TWiML Talk #261 · May 2019

    0 votes
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  8. —
    Luke Stark

    Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534 · Nov 2021

    0 votes
  9. —
    Luke Zettlemoyer

    Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650 · Oct 2023

    0 votes
  10. —
    Luna Dong

    Building the Product Knowledge Graph at Amazon with Luna Dong - #457 · Feb 2021

    0 votes
  11. —
    Lyne Tchapmi

    Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123 · Mar 2018

    0 votes
  12. —
    Madhur Behl

    Bringing AI Up to Speed with Autonomous Racing w/ Madhur Behl - #494 · Jun 2021

    0 votes
  13. —
    Mahesh Sathiamoorthy

    From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731 · May 2025

    0 votes
  14. —
    Manuela Veloso

    AI Research at JPMorgan Chase with Manuela Veloso - #371 · Apr 2020

    0 votes
  15. —
    Maohao Shen

    Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726 · Apr 2025

    0 votes
  16. —
    Marco Cuturi

    Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131 · Apr 2018

    0 votes
  17. —
    Margaret Mitchell

    Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572 · May 2022

    0 votes
  18. —
    Marisa Boston

    Knowledge Graphs and Expert Augmentation with Marisa Boston - TWiML Talk #204 · Nov 2018

    0 votes
  19. —
    Marius Memmel

    Bridging the Sim2real Gap in Robotics with Marius Memmel - #695 · Jul 2024

    0 votes
  20. —
    Mark Hammond

    Machine Teaching for Better Machine Learning with Mark Hammond - TWiML Talk #43 · Aug 2017

    0 votes
  21. —
    Mark Riedl

    AI Storytelling Systems with Mark Riedl - #478 · Apr 2021

    0 votes
  22. —
    Mark Ryan

    Deep Learning with Structured Data w/ Mark Ryan - #301 · Sep 2019

    0 votes
  23. —
    Markus Nagel

    Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - #663 · Dec 2023

    0 votes
  24. —
    Marsal Gavalda

    Machine Learning Commerce at Square with Marsal Gavalda - #384 · Jun 2020

    0 votes
  25. —
    Marti Hearst

    Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626 · Apr 2023

    0 votes
  26. —
    Matt Adereth

    Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273 · Jun 2019

    0 votes
  27. —
    Matt Zeiler

    Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22 · May 2017

    0 votes
  28. —
    Matteo Chinazzi

    NLP for Mapping Physics Research with Matteo Chinazzi - #353 · Mar 2020

    0 votes
  29. —
    Mazin Gilbert

    Scaling AI for the Enterprise with Mazin Gilbert - TWiML Talk #78 · Dec 2017

    0 votes
  30. —
    Melika Payvand

    Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585 · Aug 2022

    0 votes
  31. —
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  32. —
    Michael Bronstein

    Trends in Graph Machine Learning with Michael Bronstein - #446 · 2 episodes

    0 votes
  33. —
    Michael Kearns

    Responsible AI in the Generative Era with Michael Kearns - #662 · 2 episodes

    0 votes
  34. —
    Michael Kempe

    Workforce Intelligence for Automation & Productivity with Michael Kempe - TWiML Talk #153 · Jun 2018

    0 votes
  35. —
    Michael McCourt

    Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545 · Dec 2021

    0 votes
  36. —
    Mido Assran

    V-JEPA, AI Reasoning from a Non-Generative Architecture with Mido Assran - #677 · Mar 2024

    0 votes
  37. —
    Mike Del Balso

    Feature Platforms for Data-Centric AI with Mike Del Balso - #577 · 3 episodes

    0 votes
  38. —
    Mike Miller

    Edutainment for AI and AWS PartyRock with Mike Miller - #661 · Dec 2023

    0 votes
  39. —
    Mike Schumacher

    Targeted Ticket Sales Using Azure ML with the Trail Blazers w/ Mike Schumacher & Chenhui Hu - TWiML Talk #156 · Jun 2018

    0 votes
  40. —
    Mike Tung

    Building an Autonomous Knowledge Graph with Mike Tung - #319 · Nov 2019

    0 votes

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