MLOps Weekly Podcast

MLOps Weekly Podcast

by Simba Khadder

Season 1

MLOps Week 22: Decoding RAG and Embeddings with Demetrios Brinkmann

For Episode 22 of the MLOps Weekly Podcast, Simba sits down with Demetrios Brinkmann, Founder of MLOps Community. They dive deep into the world of embeddings, vector databases, and why AI sometimes feels like ordering too much avocado toast. Tune in for a blend of MLOps wisdom, a sprinkle of humor, and a dash of existential AI crisis!

MLOps Week 21: The Future of ML Governance and Data Management with Kevin Petrie

For episode 21 of the MLOps Weekly Podcast, Simba Khadder and Kevin Petrie, VP of Research at Eckerson Group, delve into the challenges and opportunities of integrating MLOps in traditional enterprises. They discuss strategies to overcome technical debt in implementation, the pivotal role of data in the success of ML projects, navigating regulatory compliance in machine learning, and the future of AI governance.

MLOps Week 20: Reducing Friction on Data Teams with Harry Glaser

On Week 19 of the MLOps Weekly Podcast, Simba sits down with Modelbit Co-founder and CEO, Harry Glaser, to discuss the evolving landscape of data science roles, the friction between different data teams, and the importance of prioritizing organizational and workflow problems when building MLOps tools with impact.

MLOps Week 18: The LLM Revolution & the Future of Data with Josh Wills

This week on the MLOps Weekly Podcast, Simba chats with Josh Wills, Investor and former Head of Data Engineering at Slack, to discuss data contracts, the impact of LLMs on day-to-day life, and the paradigm shift it's creating in the space as a whole.

MLOps Week 17: Why Data Scientists Need MLOps with Mikiko Bazeley

We're excited to bring you a special episode of the MLOps Weekly Podcast with our very own Head of MLOps, Mikiko Bazeley. Mikiko shares her insights as a prolific data scientist at small companies and enterprises, and why organizations need to prioritize MLOps stacks that focus on the plight of data scientists above all.

MLOps Week 16: Maximizing Data Impact with Mark Freeman

This week on the MLOps Weekly Podcast, Simba sits down with Mark Freeman to discuss why we need to bridge the gap between data scientists and data engineers, and how improved collaboration increases stakeholder engagement and business value.

MLOps Week 15: The Business Impact of MLOps with Liran Hason

This week on the MLOps Weekly Podcast, Simba chats with Aporia Co-Founder and CEO, Liran Hason, about best-of-breed tooling and the business impact of MLOps. ******************************** Aporia Model Observability ******************************** Podcast music provided by Chroma Sea

MLOps Week 14: Orchestration in MLOps with Chris White

This week on the MLOps Weekly Podcast, Simba sits down with Chris White, CTO at Prefect, to discuss his journey from mathematics to data science at CapitalOne, the power of orchestration in the ML lifecycle, and Prefect's approach to dataflow automation.

MLOps Week 13: MLOps Fundamentals with Jacopo Tagliabue

This week on the MLOps Weekly Podcast, Simba chats with Jacopo Tagliabue, author of "You Do Not Need a Bigger Boat" and Director of AI at Coveo, to discuss fundamentals when choosing an MLOps toolchain, the problem with end-to-end platforms, and solving technology problems vs workflow problems.

MLOps Week 12: Building the Right Abstractions in MLOps with Doris Xin

This week on the MLOps Weekly Podcast, Simba chats with Doris Xin, Co-founder and CEO of Linea, about the importance of notebooks in the data science workflow, choosing the right abstractions when going from development to production, and embracing the chaos of development in the MLOps lifecycle. About Doris: Doris Xin is the CEO of Linea, an MLOps startup on a mission to build developer tools that empower data scientists and enable organizations to generate value rapidly with data. Doris received a PhD in Computer Science from UC Berkeley. Her thesis focused on designing machine learning systems for developer productivity, research inspired by her experience as a machine learning engineer at LinkedIn. Her career includes engineering and research roles at Databricks, Google, LinkedIn, and Microsoft. LineaPy (Github, Twitter, Linkedin)

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