Best MLOps Podcasts (2025)

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Proactive Agents for the Web with Devi Parikh - #756 56:04

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7d ago56:04

56:04

Today, we're joined by Devi Parikh, co-founder and co-CEO of Yutori, to discuss browser use models and a future where we interact with the web through proactive, autonomous agents. We explore the technical challenges of creating reliable web agents, the advantages of visually-grounded models that operate on screenshots rather than the browser’s mor…

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How to Address the Problem of Poorly-Defined Requirements in Software System Design 54:48

1h ago54:48

54:48

This webcast offers a solution to the problem of poorly defined requirements in system design that can lead to software flaws, cost and time overruns, and stakeholder dissatisfaction. We will tell you how to use a structured process called the ATAM (architectural tradeoffs analysis method) to develop a system design by eliciting requirements, scena…

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#91 How Kim Smets, VP Data & AI at Telenet, Scales Enterprise AI with Strategy, People, and Purpose 24:35

4d ago24:35

24:35

Send us a text In this episode of Data Topics, Ben speaks with Kim Smets, VP Data & AI at Telenet, about his journey from early machine learning work to leading enterprise-wide AI transformation at Telenet. Kim shares how he built a central data & AI team, shifted from fragmented reporting to product thinking, and embedded governance that actually …

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AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755 54:46

14d ago54:46

54:46

Today, we're joined by Robin Braun, VP of AI business development for hybrid cloud at HPE, and Luke Norris, co-founder and CEO of Kamiwaza, to discuss how AI systems can be used to automate complex workflows and unlock value from legacy enterprise data. Robin and Luke detail high-impact use cases from HPE and Kamiwaza’s collaboration on an “Agentic…

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Building an AI Mathematician with Carina Hong - #754 55:52

22d ago55:52

55:52

In this episode, Carina Hong, founder and CEO of Axiom, joins us to discuss her work building an "AI Mathematician." Carina explains why this is a pivotal moment for AI in mathematics, citing a convergence of three key areas: the advanced reasoning capabilities of modern LLMs, the rise of formal proof languages like Lean, and breakthroughs in code …

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185: Workflow Orchestrators 1:32:02

2d ago1:32:02

1:32:02

Intro topic: Asymmetric Returns News/Links: NanoChat by Andrej Karpathy https://github.com/karpathy/nanochat Pydantic AI https://www.marktechpost.com/2025/03/25/pydanticai-advancing-generative-ai-agent-development-through-intelligent-framework-design/ 1000th Starlink this year https://spaceflightnow.com/2025/05/16/live-coverage-spacex-plans-morning…

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High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753 52:23

29d ago52:23

52:23

In this episode, Hung Bui, Technology Vice President at Qualcomm, joins us to explore the latest high-efficiency techniques for running generative AI, particularly diffusion models, on-device. We dive deep into the technical challenges of deploying these models, which are powerful but computationally expensive due to their iterative sampling proces…

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5 Essential Questions for Implementing the Software Acquisition Pathway and the Tools to Tackle Them 50:57

14d ago50:57

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The SEI contributed its expertise to the development of the Software Acquisition Pathway (SWP), which the Department of Defense (DoD) issued in 2020 as DoD Instruction 5000.87. Since the SWP's issuance, SEI researchers have collaborated with DoD program teams and policy owners to effectively implement the pathway in different program contexts, iden…

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#90 How To Make AI Deliver Business Impact: Gaelle Helsmoortel on Turning Strategy Into Tangible Results 30:17

1M ago30:17

30:17

Send us a text In this episode, Gaelle Helsmoortel joins us to discuss how to make AI truly deliver business impact, not just proof of concept. With over 25 years of experience spanning L’Oréal, startup leadership, and her current role at Dataroots, Gaelle shares her approach to turning business challenges into measurable value. She breaks down her…

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Vibe Coding's Uncanny Valley with Alexandre Pesant - #752 1:12:36

1M ago1:12:36

1:12:36

Today, we're joined by Alexandre Pesant, AI lead at Lovable, who joins us to discuss the evolution and practice of vibe coding. Alex shares his take on how AI is enabling a shift in software development from typing characters to expressing intent, creating a new layer of abstraction similar to how high-level code compiles to machine code. We explor…

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Q-Day Countdown: Are You Prepared? 48:33

28d ago48:33

48:33

Experts agree that quantum computing will likely become powerful enough to break modern-day encryption within the next 10–15 years on "Q Day." Once encryption is defeated, the computing world will never be the same. Organizations need to identify the correct courses of action to take today so that the sudden onset of quantum computing does not thre…

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Dataflow Computing for AI Inference with Kunle Olukotun - #751 57:37

1M ago57:37

57:37

In this episode, we're joined by Kunle Olukotun, professor of electrical engineering and computer science at Stanford University and co-founder and chief technologist at Sambanova Systems, to discuss reconfigurable dataflow architectures for AI inference. Kunle explains the core idea of building computers that are dynamically configured to match th…

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Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750 57:23

2M ago57:23

57:23

Today, we're joined by Jacob Buckman, co-founder and CEO of Manifest AI to discuss achieving long context in transformers. We discuss the bottlenecks of scaling context length and recent techniques to overcome them, including windowed attention, grouped query attention, and latent space attention. We explore the idea of weight-state balance and the…

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Using LLMs to Evaluate Code 1:02:10

2M ago1:02:10

1:02:10

Finding and fixing weaknesses and vulnerabilities in source code has been an ongoing challenge. There is a lot of excitement about the ability of large language models (LLMs, e.g., GenAI) to produce and evaluate programs. One question related to this ability is: Do these systems help in practice? We ran experiments with various LLMs to see if they …

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AI Therapy: An Open Conversation with Therapists 1:00:36

2M ago1:00:36

1:00:36

(Cross-posted from Fit Check) The mental health field is facing an unexpected disruption: AI is already the largest provider of mental health support in the US, with hundreds of millions using tools like ChatGPT for emotional guidance—whether the technology was designed for it or not. In this AMA, I sit down with Dr. Rachel Wood (licensed counselor…

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The Decentralized Future of Private AI with Illia Polosukhin - #749 1:05:03

2M ago1:05:03

1:05:03

In this episode, Illia Polosukhin, a co-author of the seminal "Attention Is All You Need" paper and co-founder of Near AI, joins us to discuss his vision for building private, decentralized, and user-owned AI. Illia shares his unique journey from developing the Transformer architecture at Google to building the NEAR Protocol blockchain to solve glo…

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#89 SQLBits Unfiltered: dbt in Fabric, MLOps in Action & Copilot in Question 1:21:25

2M ago1:21:25

1:21:25

Send us a text In this episode, we're joined by Sam Debruyn and Dorian Van den Heede who reflect on their talks at SQL Bits 2025 and dive into the technical content they presented. Sam walks through how dbt integrates with Microsoft Fabric, explaining how it improves lakehouse and warehouse workflows by adding modularity, testing, and documentation…

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Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748 1:03:39

2M ago1:03:39

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Today, we’re joined by Oliver Wang, principal scientist at Google DeepMind and tech lead for Gemini 2.5 Flash Image—better known by its code name, “Nano Banana.” We dive into the development and capabilities of this newly released frontier vision-language model, beginning with the broader shift from specialized image generators to general-purpose m…

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184: Asynchronous Programming 1:30:32

2M ago1:30:32

1:30:32

184: Asynchronous Programming Intro topic: AI Scams News/Links: Coding Adventure: Ray-Tracing Glass and Caustics (Sebastian Lague) https://www.youtube.com/watch?v=wA1KVZ1eOuA Boson AI announces Higgs Audio V2 https://www.boson.ai/technologies/voice The Misconception that Almost Stopped AI [How Models Learn Part 1] (Welch Labs) https://www.youtube.c…

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ELO Ratings Questions 3:39

2M ago3:39

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Key Argument Thesis: Using ELO for AI agent evaluation = measuring noise Problem: Wrong evaluators, wrong metrics, wrong assumptions Solution: Quantitative assessment frameworks The Comparison (00:00-02:00) Chess ELO FIDE arbiters: 120hr training Binary outcome: win/loss Test-retest: r=0.95 Cohen's κ=0.92 AI Agent ELO Random users: Google engineer?…

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The 2X Ceiling: Why 100 AI Agents Can't Outcode Amdahl's Law" 4:19

2M ago4:19

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AI coding agents face the same fundamental limitation as parallel computing: Amdahl's Law. Just as 10 cooks can't make soup 10x faster, 10 AI agents can't code 10x faster due to inherent sequential bottlenecks. 📚 Key Concepts The Soup Analogy Multiple cooks can divide tasks (prep, boiling water, etc.) But certain steps MUST be sequential (can't sti…

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Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747 58:26

2M ago58:26

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Today, we're joined by Aditi Raghunathan, assistant professor at Carnegie Mellon University, to discuss the limitations of LLMs and how we can build more adaptable and creative models. We dig into her ICML 2025 Outstanding Paper Award winner, “Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction,” which ex…

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#88 “Data Shapes AI, and AI Shapes Data,” Emilie Nenquin on VRT’s Digital Transformation 52:30

2M ago52:30

52:30

Send us a text In this episode, we explore how public media can build scalable, transparent, and mission-driven data infrastructure - with Emilie Nenquin, Head of Data & Intelligence at VRT, and Stijn Dolphen, Team Lead & Analytics Engineer at Dataroots. Emilie shares how she architected VRT’s data transformation from the ground up: evolving from b…

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Building an Immune System for AI Generated Software with Animesh Koratana - #746 1:05:11

3M ago1:05:11

1:05:11

Today, we're joined by Animesh Koratana, founder and CEO of PlayerZero to discuss his team’s approach to making agentic and AI-assisted coding tools production-ready at scale. Animesh explains how rapid advances in AI-assisted coding have created an “asymmetry” where the speed of code output outpaces the maturity of processes for maintenance and su…

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Autoformalization and Verifiable Superintelligence with Christian Szegedy - #745 1:11:48

3M ago1:11:48

1:11:48

In this episode, Christian Szegedy, Chief Scientist at Morph Labs, joins us to discuss how the application of formal mathematics and reasoning enables the creation of more robust and safer AI systems. A pioneer behind concepts like the Inception architecture and adversarial examples, Christian now focuses on autoformalization—the AI-driven process …

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Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744 1:10:20

3M ago1:10:20

1:10:20

Today, we're joined by Prince Canuma, an ML engineer and open-source developer focused on optimizing AI inference on Apple Silicon devices. Prince shares his journey to becoming one of the most prolific contributors to Apple’s MLX ecosystem, having published over 1,000 models and libraries that make open, multimodal AI accessible and performant on …

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Genie 3: A New Frontier for World Models with Jack Parker-Holder and Shlomi Fruchter - #743 1:01:01

3M ago1:01:01

1:01:01

Today, we're joined by Jack Parker-Holder and Shlomi Fruchter, researchers at Google DeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds. We dig into the evolution of the Genie project and review the current model’s scaled-up capabilities, including creating real-time, interactive, and high-re…

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#87 How to Successfully Integrate AI into Your Business, with Tim Leers (Global Generative & Agentic AI Lead) 1:07:28

3M ago1:07:28

1:07:28

Send us a text What happens when AI hype collides with enterprise reality? Tim Leers, Global Generative & Agentic AI Lead at Dataroots, pulls back the curtain on what's actually working—and what's not—in enterprise AI deployment today. We begin by examining why companies like Klarna publicly announced replacing customer service teams with AI, only …

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Closing the Loop Between AI Training and Inference with Lin Qiao - #742 1:01:11

4M ago1:01:11

1:01:11

In this episode, we're joined by Lin Qiao, CEO and co-founder of Fireworks AI. Drawing on key lessons from her time building PyTorch, Lin shares her perspective on the modern generative AI development lifecycle. She explains why aligning training and inference systems is essential for creating a seamless, fast-moving production pipeline, preventing…

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The art of selling (as an engineer), from physics PhD to sales engineer at Databricks with Daliana's old friend Mike Lo - Daliana's Game 02 1:03:31

4M ago1:03:31

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Daliana’s newsletter on how to find your edge in the AI age and live events: https://dalianaliu.kit.com/e0dcfc214b Daliana interviewed her friend of 10 years, Mike Lo, on how he went from a physics PhD to Sales Engineer at Databricks, and fun stories of their friendship in LA. Mike Lo’s Linkedin: https://www.linkedin.com/in/hellomikelo/…

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Achieving Balance: Agility, MBSE, and Architecture 42:55

4M ago42:55

42:55

Often, agile implementations are a struggle. Dedicated agile teams focus hard and deliver value on a regular cadence. But when results are tallied, the value teams produce may not fit neatly into the expectations of senior stakeholders. Why? In this webcast, Peter Capell addresses the importance of a practical vision to express outcomes, so that th…

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183: Landing a Software Job in 2025 1:46:53

4M ago1:46:53

1:46:53

00:00:00 Intro 00:01:58 Introducing Mark Cunningham 00:07:01 How Do You Find A Job? 00:15:43 How to Get the Best Interview 00:33:06 Tips on How To Pass An Interview 00:38:38 How to Have a Good Interview 00:48:12 What is the Reverse Interview? 00:54:24 What Is The Hiring Manager's Role? 00:57:12 Reverse Interviews: Red Flags 01:14:45 How to Negotiat…

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Context Engineering for Productive AI Agents with Filip Kozera - #741 46:01

4M ago46:01

46:01

In this episode, Filip Kozera, founder and CEO of Wordware, explains his approach to building agentic workflows where natural language serves as the new programming interface. Filip breaks down the architecture of these "background agents," explaining how they use a reflection loop and tool-calling to execute complex tasks. He discusses the current…

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Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740 1:13:02

4M ago1:13:02

1:13:02

In this episode, Jared Quincy Davis, founder and CEO at Foundry, introduces the concept of "compound AI systems," which allows users to create powerful, efficient applications by composing multiple, often diverse, AI models and services. We discuss how these "networks of networks" can push the Pareto frontier, delivering results that are simultaneo…

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Identifying AI Talent for the DoD Workforce 1:01:42

4M ago1:01:42

1:01:42

Finding and growing AI and Data talent is essential for mission success, but many skilled workers remain unseen because they lack traditional credentials. This session introduces practical strategies and prototype tools that help individuals demonstrate what they know while helping managers identify and evaluate emerging talent in these fields. Att…

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#86 What’s Next for Kubernetes? KubeCon 2025 Recap with Nick Schouten 1:03:20

4M ago1:03:20

1:03:20

Send us a text Welcome to the cozy corner of the tech world! Datatopics is your go-to spot for relaxed discussions around tech, news, data, and society. In this episode of Data Topics, we sit down with Nick Schouten — data engineer at dataroots — for a full recap of KubeCon Europe 2025 and a deep dive into the current and future state of Kubernetes…

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Why she quit Amazon to become a Vlogger, creator economy, Evelyn - Daliana’s Game - 01 51:31

4M ago51:31

51:31

Daliana’s newsletter on how to navigate your career in the AI age: https://dalianaliu.kit.com/e0dcfc214b Evelyn was an analytics manager at Amazon and now full time vlogger. We talked about how she became a vlogger, how she navigated her career after leaving Amazon, and what she learned about the creator economy. Evelyn’s YouTube: https://www.youtu…

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Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739 1:13:02

4M ago1:13:02

1:13:02

In this episode, Kwindla Kramer, co-founder and CEO of Daily and creator of the open source Pipecat framework, joins us to discuss the architecture and challenges of building real-time, production-ready conversational voice AI. Kwin breaks down the full stack for voice agents—from the models and APIs to the critical orchestration layer that manages…

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Model Your Way to Better Cybersecurity 1:02:54

4M ago1:02:54

1:02:54

Threat modeling is intended to help defend a system from attack. It tops the list of techniques recommended by the National Institute of Standards and Technology (NIST) to secure critical systems. In a world where people with malicious intent have deadlier tools at their disposal, defenders need to take advantage of Model-Based Systems Engineering …

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Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738 1:00:29

5M ago1:00:29

1:00:29

Today, we're joined by Fatih Porikli, senior director of technology at Qualcomm AI Research for an in-depth look at several of Qualcomm's accepted papers and demos featured at this year’s CVPR conference. We start with “DiMA: Distilling Multi-modal Large Language Models for Autonomous Driving,” an end-to-end autonomous driving system that incorpora…

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Daliana is back -- with something new 1:05

5M ago1:05

1:05

I'm starting a new podcast. Learn more.

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#85 From CDO to author: Jackie Janssen on the evolution of AI and implications for business and society 36:54

5M ago36:54

36:54

Send us a text Welcome to the cozy corner of the tech world! Datatopics is your go-to spot for relaxed discussions around tech, news, data, and society. This week, co-host Ben is joined by Jackie Janssen, former Chief Data Officer at CM, author of AI: De Hype Voorbij, and an evangelist for pragmatic, human-centered AI. Together, they trace the wind…

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182: AI Assisted Coding 1:37:36

4M ago1:37:36

1:37:36

Intro topic: Getting an entry-level job News/Links: Mario Kart 64 Fully Decompiled https://gbatemp.net/threads/mario-kart-64-decompilation-project-reaches-100-completion.671104/ Q-Learning is not yet scalable https://seohong.me/blog/q-learning-is-not-yet-scalable/ Grover’s Algorithm https://www.youtube.com/watch?v=RQWpF2Gb-gU&vl=en OrangePi has a R…

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DevSecOps: See, Use, Succeed 1:00:41

5M ago1:00:41

1:00:41

DevSecOps generates a lot of data valuable for better decision making. However, decision makers may not see all they need to in order to make best use of the data for continuous improvement. The SEI open source Polar tool unlocks the data, giving DevSecOps teams greater capability to automate, which in turn means they can innovate rapidly – without…

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Building the Internet of Agents with Vijoy Pandey - #737 56:13

5M ago56:13

56:13

Today, we're joined by Vijoy Pandey, SVP and general manager at Outshift by Cisco to discuss a foundational challenge for the enterprise: how do we make specialized agents from different vendors collaborate effectively? As companies like Salesforce, Workday, and Microsoft all develop their own agentic systems, integrating them creates a complex, pr…

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An Introduction to the MLOps Tool Evaluation Rubric 1:00:23

5M ago1:00:23

1:00:23

Organizations looking to build and adopt artificial intelligence (AI)–enabled systems face the challenge of identifying the right capabilities and tools to support Machine Learning Operations (MLOps) pipelines. Navigating the wide range of available tools can be especially difficult for organizations new to AI or those that have not yet deployed sy…

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LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736 59:31

5M ago59:31

59:31

Today, we're joined by Ben Wellington, deputy head of feature forecasting at Two Sigma. We dig into the team’s end-to-end approach to leveraging AI in equities feature forecasting, covering how they identify and create features, collect and quantify historical data, and build predictive models to forecast market behavior and asset prices for tradin…

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#84 Let’s Get Meta: Why the Metadata You Ignore Might Be Costing You - with Special Guest Corentin 1:01:01

5M ago1:01:01

1:01:01

Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unpluggedis your go-to spot for relaxed discussions around tech, news, data, and society. Dive into conversations that should flow as smoothly as your morning coffee (but don’t), where industry insights meet laid-back banter. Wh…

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Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735 56:45

6M ago56:45

56:45

Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source platform for visualizing datasets, analyzing models, and improving data quality. We focus on Voxel51’s recent research report, “Zero-shot auto-labeling riv…

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Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734 1:25:21

6M ago1:25:21

1:25:21

Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles from theoretical physics. We explore the foundations of the Heavy-Tailed Self-Regularization (HTSR) theory that underpins it, which combines random matri…