Join each week as we talk to MLOps operators, practitioners, and professionals about the current state of MLOps.
MLOps Weekly Podcast
Claim This Podcastby Simba Khadder
5.0(3 reviews)
32 episodes
Updated Bi-weekly
Accepts GuestsHas Sponsors
25
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality18
Social0
YouTube0
Engagement81
Podcast Overview
Join each week as we talk to MLOps operators, practitioners, and professionals about the current state of MLOps.
Language
🇺🇲
Publishing Since
6/6/2022
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25
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality18
Social0
YouTube0
Engagement81
5
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12
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excellent
Episode Length
10 minutes
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1 link(s)
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Recent Episodes
February 11, 2025
MLOps Week 32: MLOps and Feature Stores in 2025 with Ben Epstein
<p>Join us for special episode of the MLOps Weekly Podcast, an hour long chat with Ben Epstein, MLE at Evolution IQ and co-host of the bi-weekly MLOps Community Virtual meetups, and Featureform CEO Simba Khadder as they reflect on the key developments in MLOps throughout 2024 and look at what trends and challenges to anticipate in 2025! The discussion will center around the integration of Large Language Models (LLMs) and their substantial influence on both MLOps and LLMOps methodologies.</p><p></p><p><strong>Key topics include:</strong></p><ul><li>Best practices and cutting-edge architectures in MLOps</li><li>Where MLOps meets LLMOps: key trends and areas of convergence</li><li>Forecasting the MLOps landscape for 2025</li></ul>
August 1, 2024
MLOps Week 31: Bridging Software Engineering and MLOps with Paul lusztin of Decoding ML
<p>In this episode of the "MLOps Weekly" podcast, host Simba Khadder talks with Paul Iusztin, a Senior ML and MLOps Engineer at Decoding ML, about his journey from software engineering to MLOps. They discuss the integration of software engineering principles in ML, the challenges of writing tests for ML applications, and the key differences between software and ML engineering. Paul shares insights on building scalable and reproducible MLOps platforms, emphasizing the importance of decoupling feature, training, and inference pipelines. They also explore the convergence of MLOps and LLMOps, highlighting the unique aspects of prompt engineering. The conversation underscores the importance of robust engineering practices and continuous adaptation in the rapidly evolving AI landscape.</p>
July 3, 2024
MLOps Week 30 - From Recession to Al Boom: Venture Capital Perspectives with Gautam Krishnamurthi
<p>For the latest episode of the MLOps Weekly Podcast, join host Simba Khadder as he chats with Gautam Krishnamurthi, partner at Great Point Ventures, about the rapidly evolving world of AI and its impacts on the future of venture capital investing. They also discuss the latest trends in large language models (LLMs), venture valuations, and the impact of rising interest rates on the public markets. Gautam provides his expertise on identifying real enterprise use cases, distinguishing valuable startups amidst the noise, and the critical role of infrastructure in the machine learning landscape. Lastly, you’ll learn about the transformative power of AI, how it's reshaping industries, and what investors seek in the next wave of groundbreaking companies.</p>
32 total episodes available
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Frequently asked questions
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- What is MLOps Weekly Podcast?
- How often does this podcast release new episodes?
This podcast updates bi-weekly.
- Where can I listen to this podcast?
This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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