Best MLOps Podcasts (2025)

1
MLOps with Databricks // Maria Vechtomova // #314 52:43

6d ago52:43

52:43

MLOps with Databricks // MLOps Podcast #314 with Maria Vechtomova, MLOps Tech Lead | Founder at Ahold Delhaize | Marvelous MLOps. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract The world of MLOps is very complex as there is an endless amount of tools serving its purpos…

1
Plastic Shamans of AGI 10:32

5h ago10:32

10:32

The plastic shamans of OpenAI🔥 Hot Course Offers:- 🤖 Master GenAI Engineering - Build Production AI Systems- 🦀 Learn Professional Rust - Industry-Grade Development- 📊 AWS AI & Analytics - Scale Your ML in Cloud- ⚡ Production GenAI on AWS - Deploy at Enterprise Scale- 🛠️ Rust DevOps Mastery - Automate Everything🚀 Level Up Your Career:- 💼 Production …

1
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732 57:09

1d ago57:09

57:09

Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high-stakes domains like financial services. We explore how RAG, contrary to some expectations, can inadvertently degrade model safety. We cover examples o…

1
The Toyota Way: Engineering Discipline in the Era of Dangerous Dilettantes 14:38

2h ago14:38

14:38

Dangerous Dilettantes vs. Toyota Way Engineering Core Thesis The influx of AI-powered automation tools creates dangerous dilettantes - practitioners who know just enough to be harmful. The Toyota Production System (TPS) principles provide a battle-tested framework for integrating automation while maintaining engineering discipline. Historical Conte…

1
A Candid Conversation Around MCP and A2A // Rahul Parundekar and Sam Partee // #316 SF Live 1:04:42

4h ago1:04:42

1:04:42

Demetrios, Sam Partee, and Rahul Parundekar unpack the chaos of AI agent tools and the evolving world of MCP (Model Context Protocol). With sharp insights and plenty of laughs, they dig into tool permissions, security quirks, agent memory, and the messy path to making agents actually useful. // Bio Sam Partee Sam Partee is the CTO and Co-Founder of…

1
AI in M&A: Building, Buying, and the Future of Dealmaking // Kison Patel // #315 55:32

3d ago55:32

55:32

AI in M&A: Building, Buying, and the Future of Dealmaking // MLOps Podcast #315 with Kison Patel, CEO and M&A Science at DealRoom . Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractThe intersection of M&A and AI, exploring how the DealRoom team developed AI capabilities a…

1
DevOps Narrow AI Debunking Flowchart 11:19

3d ago11:19

11:19

Extensive Notes: The Truth About AI and Your Coding Job Types of AI Narrow AI Not truly intelligent Pattern matching and full text search Examples: voice assistants, coding autocomplete Useful but contains bugs Multiple narrow AI solutions compound bugs Get in, use it, get out quickly AGI (Artificial General Intelligence) No evidence we're close to…

1
No Dummy, AI Isn't Replacing Developer Jobs 14:41

5d ago14:41

14:41

Extensive Notes: "No Dummy: AI Will Not Replace Coders" Introduction: The Critical Thinking Problem America faces a critical thinking deficit, especially evident in narratives about AI automating developers' jobs Speaker advocates for examining the narrative with core critical thinking skills Suggests substituting the dominant narrative with altern…

1
The Narrow Truth: Dismantling IntelligenceTheater in Agent Architecture 10:34

5d ago10:34

10:34

how Gen.AI companies combine narrow ML components behind conversational interfaces to simulate intelligence. Each agent component (text generation, context management, tool integration) has direct non-ML equivalents. API access bypasses the deceptive UI layer, providing better determinism and utility. Optimal usage requires abandoning open-ended in…

1
The Pirate Bay Hypothesis: Reframing AI's True Nature 8:31

5d ago8:31

8:31

Episode Summary: A critical examination of generative AI through the lens of a null hypothesis, comparing it to a sophisticated search engine over all intellectual property ever created, challenging our assumptions about its transformative nature. Keywords: AI demystification, null hypothesis, intellectual property, search engines, large language m…

1
AI, Marketing, and Human Decision Making // Fausto Albers // #313 49:40

5d ago49:40

49:40

AI, Marketing, and Human Decision Making // MLOps Podcast #313 with Fausto Albers, AI Engineer & Community Lead at AI Builders Club. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Demetrios and Fausto Albers explore how generative AI transforms creative work, decision-…

1
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731 1:01:25

9d ago1:01:25

1:01:25

Today, we're joined by Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs, to discuss how reinforcement learning (RL) is reshaping the way we build custom agents on top of foundation models. Mahesh highlights the crucial role of data curation, evaluation, and error analysis in model performance, and explains why RL offers a more robust altern…

1
181: Memory Management 1:46:21

7d ago1:46:21

1:46:21

Intro topic: Video Game Prices News/Links: Step one: Jump in the Lava - Abyssoft https://youtu.be/WdadpHLAfdA?si=oXYnhB0EdkR_RaPE Scalable world models for continuous control https://www.tdmpc2.com/ Clever code is probably the worst code you could write - Engineer’s Codex https://read.engineerscodex.com/p/clever-code-is-probably-the-worst A new, op…

1
Build a Strong Career in Data - Lavanya Gupta 51:59

10d ago51:59

51:59

In this podcast episode, we talked with Lavanya Gupta about Building a Strong Career in Data. About the Speaker: Lavanya is a Carnegie Mellon University (CMU) alumni of the Language Technologies Institute (LTI). She works as a Sr. AI/ML Applied Associate at JPMorgan Chase in their specialized Machine Learning Center of Excellence (MLCOE) vertical. …

1
MLG 035 Large Language Models 2 45:25

11d ago45:25

45:25

At inference, large language models use in-context learning with zero-, one-, or few-shot examples to perform new tasks without weight updates, and can be grounded with Retrieval Augmented Generation (RAG) by embedding documents into vector databases for real-time factual lookup using cosine similarity. LLM agents autonomously plan, act, and use ex…

1
MLG 034 Large Language Models 1 50:48

12d ago50:48

50:48

Explains language models (LLMs) advancements. Scaling laws - the relationships among model size, data size, and compute - and how emergent abilities such as in-context learning, multi-step reasoning, and instruction following arise once certain scaling thresholds are crossed. The evolution of the transformer architecture with Mixture of Experts (Mo…

1
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730 1:07:27

17d ago1:07:27

1:07:27

Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for comprehensive web research, Operator for website navigation, and Codex CLI for local code execution. We explore OpenAI’s shift from simple LLM workflows to reaso…

1
Making AI Reliable is the Greatest Challenge of the 2020s // Alon Bochman // #312 1:01:37

13d ago1:01:37

1:01:37

Making AI Reliable is the Greatest Challenge of the 2020s // MLOps Podcast #312 with Alon Bochman, CEO of RagMetrics. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter Huge shout-out to @RagMetrics for sponsoring this episode! // Abstract Demetrios talks with Alon Bochman, CEO of Rag…

1
Claude Code Review: Pattern Matching, Not Intelligence 10:31

14d ago10:31

10:31

Episode Notes: Claude Code Review: Pattern Matching, Not Intelligence Summary I share my hands-on experience with Anthropic's Claude Code tool, praising its utility while challenging the misleading "AI" framing. I argue these are powerful pattern matching tools, not intelligent systems, and explain how experienced developers can leverage them effec…

1
Deno: The Modern TypeScript Runtime Alternative to Python 7:26

14d ago7:26

7:26

Deno: The Modern TypeScript Runtime Alternative to Python Episode Summary Deno stands tall. TypeScript runs fast in this Rust-based runtime. It builds standalone executables and offers type safety without the headaches of Python's packaging and performance problems. Keywords Deno, TypeScript, JavaScript, Python alternative, V8 engine, scripting lan…

1
Reframing GenAI as Not AI - Generative Search, Auto-Complete and Pattern Matching 16:43

19d ago16:43

16:43

Episode Notes: The Wizard of AI: Unmasking the Smoke and Mirrors Summary I expose the reality behind today's "AI" hype. What we call AI is actually generative search and pattern matching - useful but not intelligent. Like the Wizard of Oz, tech companies use smoke and mirrors to market what are essentially statistical models as sentient beings. Key…

1
Academic Style Lecture on Concepts Surrounding RAG in Generative AI 45:17

15d ago45:17

45:17

Episode Notes: Search, Not Superintelligence: RAG's Role in Grounding Generative AI Summary I demystify RAG technology and challenge the AI hype cycle. I argue current AI is merely advanced search, not true intelligence, and explain how RAG grounds models in verified data to reduce hallucinations while highlighting its practical implementation chal…

1
Behavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311 1:01:35

17d ago1:01:35

1:01:35

Behavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // MLOps Podcast #311 with Devansh Devansh, Head of AI at Stealth AI Startup. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractOpen-source AI researcher Devansh Devansh joins Demetrios to discuss gro…

1
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729 56:18

23d ago56:18

56:18

Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on her recent project CTIBench—a benchmark for evaluating LLMs on real-world CTI tasks. Nidhi explains the evolution of AI in cybersecurity, from rule-based systems to LLMs that accelerate analysis by p…

1
GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // Paco Nathan & Weidong Yang // #310 1:14:01

20d ago1:14:01

1:14:01

GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // MLOps Podcast #310 with Paco Nathan, Principal DevRel Engineer at Senzing & Weidong Yang, CEO of Kineviz. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractExisting BI a…

1
AI Data Engineers - Data Engineering After AI // Vikram Chennai // #309 49:40

24d ago49:40

49:40

AI Data Engineers - Data Engineering after AI // MLOps Podcast #309 with Vikram Chennai, Founder/CEO of Ardent AI. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractA discussion of Agentic approaches to Data Engineering. Exploring the benefits and pitfalls of AI solutions …

1
Generative Benchmarking with Kelly Hong - #728 54:17

29d ago54:17

54:17

In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kelly explains how traditional benchmarks like MTEB fail to represent real-world query patterns and how embedding models that perform well on public benchm…

1
I Am Once Again Asking "What is MLOps?" // Oleksandr Stasyk // #308 1:07:22

27d ago1:07:22

1:07:22

I am once again asking "What is MLOps?" // MLOps Podcast #308 with Oleksandr Stasyk, Engineering Manager, ML Platform of Synthesia. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractWhat does it mean to MLOps now? Everyone is trying to make a killing from AI, everyone want…

1
Why I’m ending this show. Death, afterlife, Chinese philosophy, and what’s next? Daliana Liu ft. Tina Huang #92 44:24

28d ago44:24

44:24

I had a fun “funeral” of this show with Tina Huang, we talked about death, afterlife, and the various transitions as content creators. Get coached by Daliana:• DS/ML Career Accelerator • Personal Branding Accelerator • Join the newsletter with 20k readers to read my career stories ⁠here⁠.

1
How Sama is Improving ML Models to Make AVs Safer // Duncan Curtis // #307 45:34

1M ago45:34

45:34

How Sama is Improving ML Models to Make AVs Safer // MLOps Podcast #307 with Duncan Curtis, SVP of Product and Technology at Sama. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Between Uber’s partnership with NVIDIA and speculation around the U.S.'s President Donald T…

1
Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // Luca Fiaschi // #306 1:02:23

1M ago1:02:23

1:02:23

Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // MLOps Podcast #306 with Luca Fiaschi, Partner of PyMC Labs. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Traditional product development cycles require extensive consumer research an…

1
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727 1:34:06

1M ago1:34:06

1:34:06

In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a Large Language Model." Emmanuel explains how his team developed mechanistic interpretability methods to understand the internal workings of Claude by rep…

1
MLA 024 Code AI MCP Servers, ML Engineering 43:38

1M ago43:38

43:38

Tool use in code AI agents allows for both in-editor code completion and agent-driven file and command actions, while the Model Context Protocol (MCP) standardizes how these agents communicate with external and internal tools. MCP integration broadens the automation capabilities for developers and machine learning engineers by enabling access to a …

1
MLA 023 Code AI Models & Modes 37:35

1M ago37:35

37:35

Gemini 2.5 Pro currently leads in both accuracy and cost-effectiveness among code-focused large language models, with Claude 3.7 and a DeepSeek R1/Claude 3.5 combination also performing well in specific modes. Using local open source models via tools like Ollama offers enhanced privacy but trades off model performance, and advanced workflows like c…

1
Real-Time Forecasting Faceoff: Time Series vs. DNNs // Josh Xi // #305 53:41

1M ago53:41

53:41

Real-Time Forecasting Faceoff: Time Series vs. DNNs // MLOps Podcast #305 with Josh Xi, Data Scientist at Lyft. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract In real-time forecasting (e.g. geohash level demand and supply forecast for an entire region), time series-bas…

1
We're All Finetuning Incorrectly // Tanmay Chopra // #304 1:00:30

1M ago1:00:30

1:00:30

We're All Finetuning Incorrectly // MLOps Podcast #304 with Tanmay Chopra, Founder & CEO of Emissary. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Finetuning is dead. Finetuning is only for style. We've all heard these claims. But the truth is we feel this way becaus…

1
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726 51:45

2M ago51:45

51:45

Today, we're joined by Maohao Shen, PhD student at MIT to discuss his paper, “Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.” We dig into how Satori leverages reinforcement learning to improve language model reasoning—enabling model self-reflection, self-correction, and exploration of a…

1
From Shiny to Strategic: The Maturation of AI Across Industries // David Cox // #303 40:50

1M ago40:50

40:50

From Shiny to Strategic: The Maturation of AI Across Industries // MLOps Podcast #303 with David Cox, VP of Data Science; Assistant Director of Research at RethinkFirst; Institute of Applied Behavioral Science. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Shiny new o…

1
Streaming Ecosystem Complexities and Cost Management // Rohit Agrawal // #302 48:51

2M ago48:51

48:51

Streaming Ecosystem Complexities and Cost Management // MLOps Podcast #302 with Rohit Agrawal, Director of Engineering at Tecton. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Demetrios talks with Rohit Agrawal, Director of Engineering at Tecton, about the challenges …

1
From Supply Chain Management to Digital Warehousing and FinOps - Eddy Zulkifly 52:08

2M ago52:08

52:08

In this podcast episode, we talked with Eddy Zulkifly about From Supply Chain Management to Digital Warehousing and FinOps About the Speaker: Eddy Zulkifly is a Staff Data Engineer at Kinaxis, building robust data platforms across Google Cloud, Azure, and AWS. With a decade of experience in data, he actively shares his expertise as a Mentor on ADPL…

1
Fraud Detection in the AI Era // Rafael Sandroni // #301 41:19

2M ago41:19

41:19

Building Trust Through Technology: Responsible AI in Practice // MLOps Podcast #301 with Rafael Sandroni, Founder and CEO of GardionAI. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractRafael Sandroni shares key insights on securing AI systems, tackling fraud, and impleme…

1
Unfiltered advice - How to advance your career in data science & ML - The Data Scientist Show with Daliana Liu and Jon Krohn #091 1:33:38

2M ago1:33:38

1:33:38

➡️ Learn more about the DS Career Coaching Course. I went on Super Data Science with Jon Krohn to discuss how to accelerate your career in data science, why I paused the podcast, and how to navigate the industry's change. Join 20k subscribers to read more about career influence and personal branding. Subscribe here.…

1
Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725 1:09:07

2M ago1:09:07

1:09:07

Today, we're joined by Drago Anguelov, head of AI foundations at Waymo, for a deep dive into the role of foundation models in autonomous driving. Drago shares how Waymo is leveraging large-scale machine learning, including vision-language models and generative AI techniques to improve perception, planning, and simulation for its self-driving vehicl…

1
Beyond the Matrix: AI and the Future of Human Creativity 55:08

2M ago55:08

55:08

Beyond the Matrix: AI and the Future of Human Creativity // MLOps Podcast #300 with Fausto Albers, AI Engineer & Community Lead at AI Builders Club. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Fausto Albers discusses the intersection of AI and human creativity. He e…

1
Efficient GPU infrastructure at LinkedIn // Animesh Singh // MLOps Podcast #299 59:13

2M ago59:13

59:13

Building Trust Through Technology: Responsible AI in Practice // MLOps Podcast #299 with Animesh Singh, Executive Director, AI Platform and Infrastructure of LinkedIn. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractAnimesh discusses LLMs at scale, GPU infrastructure, an…

1
Building Trust Through Technology: Responsible AI in Practice // Allegra Guinan // #298 47:08

2M ago47:08

47:08

Building Trust Through Technology: Responsible AI in Practice // MLOps Podcast #298 with Allegra Guinan, Co-founder of Lumiera. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractAllegra joins the podcast to discuss how Responsible AI (RAI) extends beyond traditional pillar…

1
Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724 50:32

2M ago50:32

50:32

Today, we're joined by Julie Kallini, PhD student at Stanford University to discuss her recent papers, “MrT5: Dynamic Token Merging for Efficient Byte-level Language Models” and “Mission: Impossible Language Models.” For the MrT5 paper, we explore the importance and failings of tokenization in large language models—including inefficient compression…

1
Pragmatic AI Labs Interactive Labs Next Generation 2:57

2M ago2:57

2:57

Pragmatica Labs Podcast: Interactive Labs Update Episode Notes Announcement: Updated Interactive Labs New version of interactive labs now available on the Pragmatica Labs platform Focus on improved Rust teaching capabilities Rust Learning Environment Features Browser-based development environment with: Ability to create projects with Cargo Code com…

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MLOps Podcasts

Podcasts Worth a Listen