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Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

FromMLOps.community


Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

FromMLOps.community

ratings:
Length:
41 minutes
Released:
Dec 27, 2022
Format:
Podcast episode

Description

MLOps Coffee Sessions #138 with Dattaraj Rao, Explainability in the MLOps Cycle co-hosted by Vishnu Rachakonda.

// Abstract
When it comes to Dattaraj's interest, you'll hear about his top 3 areas in Machine Learning. What he sees as up and coming, what he's investing his company's time into and where he invests his own time.

Learn more about rule-based systems, deploying rule-based systems , and how to incorporate systems into more systems. there is no difference between ML systems and deploying models. It's just that this machine learning model is much smarter than traditional rule based models.

// Bio
Dattaraj Jagdish Rao is the author of the book “Keras to Kubernetes: The Journey of a Machine Learning Model to Production”. Dattaraj leads the AI Research Lab at Persistent and is responsible for driving thought leadership in AI/ML across the company. He leads a team that explores state-of-the-art algorithms in Knowledge Graphs, NLU, Responsible AI, MLOps and demonstrates applicability in Healthcare, Banking, and Industrial domains. Earlier, he worked at General Electric (GE) for 19 years building Industrial IoT solutions for Predictive Maintenance, Digital Twins, and Machine Vision.

Dattaraj held several Technology Leadership roles at Global Research, GE Power, and Transportation (now part of Wabtec). He led the Innovation team out of Bangalore that incubated video track inspection from an idea into a commercial Product. Dattaraj has 11 patents in Machine Learning and Computer Vision areas.

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

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

// Related Links
Keras to Kubernetes: The Journey of a Machine Learning Model to Production book:
https://www.amazon.com/Keras-Kubernetes-Journey-Learning-Production/dp/1119564832
Responsible Data Science Research | Talk @ VLDB 2022| Dattaraj Rao
https://www.youtube.com/watch?v=5_19KvSiy8s
Operationalizing AI/ML: Journey of an ML Model to Production | Masterclass by Dattaraj Rao
https://www.youtube.com/watch?v=Zk3RiiG07Us
Dattaraj Rao presenting workshop on MLOps at VISUM 2021
https://www.youtube.com/watch?v=wonUvbMDTUA
Machine Learning Design Patterns book:
https://www.oreilly.com/library/view/machine-learning-design/9781098115777/

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/
Connect with Dattaraj on LinkedIn: https://www.linkedin.com/in/dattarajrao/
Released:
Dec 27, 2022
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.