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The Ops in MLOps - Process and People // Shalabh Chaudri // MLOps Podcast #146

Feb 21, 2023

59:19

Creator website

Highlights

AI Chapters

Episode notes

Algorithmia Machine Learning - What's Your Journey?

01:31

DevOps Versus ML Plus Ops?

04:30

The Quality Traits of a Technical Stakeholder

02:05

Introduction

2min

ML Ops at Scale

3min

Algorithmia Machine Learning - What's Your Journey?

2min

Machine Learning

6min

Machine Learning - Where Have You Succeeded Where Others Fall Short?

2min

Machine Learning Pipeline Models - How Do They Fit With Other Tooling?

5min

Data Cal Cataloging

3min

MLOps - What Are the Stakeholders?

2min

DevOps Versus ML Plus Ops?

5min

10.

UX and Machine Learning - What's the Point of MLOps?

2min

11.

What Are Some of the Challenges That You've Had?

3min

12.

Is Machine Learning Really Taking Over?

5min

13.

Common Pitfalls of MLOps

5min

14.

A Racing Team Is an MLOps Construct

2min

15.

I Love Customer Success and Machine Learning

5min

16.

The Challenges of DevOps

3min

17.

The Quality Traits of a Technical Stakeholder

2min

18.

What Makes an MLOps Solution Successful?

4min

MLOps Coffee Sessions #146 with Shalabh Chaudri, The Ops in MLOps - Process and People co-hosted by Abi Aryan.

// Abstract
Shalabh talks through their newfound appreciation for the MLOps perspective from a customer success standpoint. Shalabh's emphasis on setting realistic expectations and ensuring the delivery of promised value adds is particularly valuable.

Generally, this episode provides a unique and insightful perspective on MLOps from the lens of customer success.

// Bio
Shalabh has worked in the MLOps domain since 2020 at Algorithmia and Union AI. His experience spans startups and small and large public companies. He has 10+ years of experience in the design, delivery, adoption, and business value realization of B2B infrastructure and platform solutions.

// MLOps Jobs board
https://mlops.pallet.xyz/jobs

// MLOps Swag/Merch
https://mlops-community.myshopify.com/

// Related Links
https://www.union.ai/

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Abi on LinkedIn: https://www.linkedin.com/in/abiaryan/
Connect with Shalabh on LinkedIn: https://www.linkedin.com/in/shalabhchaudhri/

Timestamps:
[00:00] Shalabh's preferred coffee
[01:18] Takeaways
[02:57] Huge shout out to Union AI!
[03:46] Reviews
[05:26] Shalab's journey
[07:00] The people and process of MLOps
[10:25] Accuracy measures and Multiple Stakeholders
[13:01] UnionAI's success where others fall short
[14:45] Legacy equipment
[17:06] Legacy tools versus open source
[19:27] Cataloging solution
[22:51] Stakeholders and maturity levels
[24:26] People and Process in MLOps
[29:00] Collaboration for Machine Learning
[31:08] Overcoming challenges
[34:17] AI and leadership decision-making
[35:33] Legacy Companies and AI
[39:39] Common pitfalls
[42:24] Neglecting ROI
[46:25] Speaking to each level
[49:50] Being realistic
[51:29] Becoming a champion
[53:08] Transitioning to machine learning
[55:25] Customer's Skill and Success needed in ML
[57:46] Different sizes of companies