AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive experience in software infrastructure and leadership roles at Eclipse Shay, Red Hat, AWS, and Jozu. Brad shares his journey of founding Jozu, an MLOps company that stands out with its commitment to open standards such as the OCI standard for packaging AI projects. Alongside Jozu, they explore KitOps, an innovative open-source project that simplifies version control and collaboration for AI teams.


Join them as they discuss the challenges in integrating AI models into production, the importance of monitoring API usage, and the critical role of automated rollback systems in maintaining operational excellence. They also touch on the cultural differences in operational approaches between giants like AWS and Red Hat and hear first-hand experiences on the significance of transparency, trust, and efficient risk management in both startups and established companies.


Whether you're a DevOps professional, MLOps practitioner, or data scientist transitioning to production, this episode is packed with valuable insights and practical advice to help you navigate the complexities of AI project management. Tune in to discover how Brad and his team are tackling these challenges head-on and learn how to set up your projects for success from the ground up!

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How to Create Team Utils - ML 122

How to Create Team Utils - ML 122

Have you ever written code and thought, "hmm, I wonder if my teammates would use this." Well in today's episode, we show you how to go from concept to production-level code. Spoiler alert: you're goin...

21 Heinä 20231h 4min

How to Get Sh*t Done - ML 121

How to Get Sh*t Done - ML 121

In today's episode, Michael and Ben break down some surefire methods to be successful. If you follow these tips, you are guaranteed to co-found the next Google. Some topics include time boxing excitin...

13 Heinä 202358min

ML at Netflix and How to Learn Deeply - ML 120

ML at Netflix and How to Learn Deeply - ML 120

In today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for stakeholders, the pros and cons of a Netflix-like culture, and Amir's strategy for learning...

30 Kesä 20231h 3min

How to get Promoted - ML 119

How to get Promoted - ML 119

In today's episode, we dive into Ben's experience in navigating the career ladder. Expect to learn why your leveling matrix is probably wrong and how you should actually spend your time to maximize ca...

23 Kesä 202348min

How does Search Work? - ML 118

How does Search Work? - ML 118

In today's episode, we speak with Roman Grebennikov, an expert in ranking algorithms. Expect to learn about his open source project, the difference between retrieval and ranking, and much more!Sponsor...

15 Kesä 202352min

How to Learn a New Tool - ML 117

How to Learn a New Tool - ML 117

In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During this case study we highlight the structure he uses to learn new technologies and c...

8 Kesä 202358min

The Innovation Cycle of AI - ML 116

The Innovation Cycle of AI - ML 116

Today we speak with ex-Googler, Praveen Paritosh. He has over 20 years of experience as a research scientist and has worked on some of AI's most impactful projects. Expect to learn about scientific in...

25 Touko 20231h 9min

All Things Machine Learning - ML 115

All Things Machine Learning - ML 115

Host from the Ruby Rogues podcast, Dave Kimura joins Ben and Michael for this week's crossover episode. They discuss applying machine learning, deep learning, and algorithm. They also dive into how ar...

11 Touko 20231h 7min

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