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. —
    Bratin Saha

    re:Invent Roundup 2021 with Bratin Saha - #542 · Dec 2021

    0 votes
  2. —
    Brendan Frey

    Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12 · Feb 2017

    0 votes
  3. —
    0 votes
  4. —
    Brian Granger

    Jupyter and the Evolution of ML Tooling with Brian Granger - #544 · Dec 2021

    0 votes
  5. —
    Brian Gross

    AI for Customer Service and Marketing at Aeromexico with Brian Gross - TWiML Talk #79 · Dec 2017

    0 votes
  6. —
    Brian McFee

    Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263 · May 2019

    0 votes
  7. —
    Bruno Gonçalves

    Word2Vec & Friends with Bruno Gonçalves - TWiML Talk #48 · Sep 2017

    0 votes
  8. —
    Bryan Carstens

    AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449 · Jan 2021

    0 votes
  9. —
    Bryan Catanzaro

    Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507 · Aug 2021

    0 votes
  10. —
    Bryton Shang

    Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327 · Dec 2019

    0 votes
  11. —
    Burcu Baran

    End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256 · Apr 2019

    0 votes
  12. —
    Burr Settles

    ML-Powered Language Learning at Duolingo with Burr Settles - #412 · Sep 2020

    0 votes
  13. —
    Calvin Seward

    Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38 · Jul 2017

    0 votes
  14. —
    Carlos Guestrin

    Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7 · Oct 2016

    0 votes
  15. —
    Catherine Nakalembe

    Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611 · Jan 2023

    0 votes
  16. —
    Cathy Wu

    Simulating the Future of Traffic with RL w/ Cathy Wu - #362 · Apr 2020

    0 votes
  17. —
    Cedric Cocaud

    Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601 · Nov 2022

    0 votes
  18. —
    Cha Zhang

    How Deep Learning has Revolutionized OCR with Cha Zhang - #416 · Oct 2020

    0 votes
  19. —
    Chang Liu

    Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135 · May 2018

    0 votes
  20. —
    Charlene Chambliss

    Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433 · Dec 2020

    0 votes
  21. —
    Charles Martin

    Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734 · Jun 2025

    0 votes
  22. —
    Charles Onu

    Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112 · Feb 2018

    0 votes
  23. —
    Chengzu Li

    Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722 · Mar 2025

    0 votes
  24. —
    0 votes
  25. —
    Chris Adzima

    Visual Recognition in the Cloud for Law Enforcement with Chris Adzima - TWiML Talk #86 · Dec 2017

    0 votes
  26. —
    Chris Fregly

    Data Science on AWS with Chris Fregly and Antje Barth - #490 · Jun 2021

    0 votes
  27. —
    Chris Lott

    Speculative Decoding and Efficient LLM Inference with Chris Lott - #717 · Feb 2025

    0 votes
  28. —
    Chris Potts

    Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776 · Sep 2026

    0 votes
  29. —
    Chris Shallue

    Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117 · Mar 2018

    0 votes
  30. —
    Christopher Berner

    Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199 · Nov 2018

    0 votes
  31. —
    Christopher Lum

    Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum - TWiML Talk #129 · Apr 2018

    0 votes
  32. —
    Christopher Manning

    Language Understanding and LLMs with Christopher Manning - #686 · May 2024

    0 votes
  33. —
    Christos Louizos

    Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627 · May 2023

    0 votes
  34. —
    Christy Dennison

    OpenAI Five with Christy Dennison - TWiML Talk #176 · Aug 2018

    0 votes
  35. —
    Claire Monteleoni

    Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497 · Jul 2021

    0 votes
  36. —
    Clare Corthell

    Clare Corthell - Open Source Data Science Masters, Hybrid AI, Algorithmic Ethics - TWiML Talk #1 · Jul 2016

    0 votes
  37. —
    Clare Gollnick

    Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121 · Mar 2018

    0 votes
  38. —
    Cody Coleman

    Data, Systems and ML for Visual Understanding with Cody Coleman - #660 · Dec 2023

    0 votes
  39. —
    Conor Jensen

    Operationalizing AI at Dataiku with Conor Jensen - #471 · Apr 2021

    0 votes
  40. —
    Cynthia Rudin

    The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290 · Aug 2019

    0 votes

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