Scaling AI in production // Srivatsan Srinivasan // MLOps Coffee Sessions #40 from Agentic Conversations (formally mlops.community)

Scaling AI in production // Srivatsan Srinivasan // MLOps Coffee Sessions #40

52 minutes Posted May 21, 2021 at 6:26 pm.

] Introduction to Srivatsan Srinivasan

] Background on Youtube AIEngineering

] Tips on learning MLOps and start with the field

] "Focus on your key challenges and that will drive your capability that you need to implement."

] Tips on starting CI/CD

] "Start with DevOps and see what additional capabilities you will require for the Machine Learning aspect of it."

] Staying general in different environments

] "Focus on the core concepts of it. The concepts are similar."   

] Testing systems robustly

] Trends within MLOps space

] "Everybody can fail fast but you need to fail smart because Machine Learning is a huge investment."

] GCP Auto ML

] Deployment

] "It's not only the tools, but it's also the patterns."

] Kubernetes perspective

] Favorite model release strategy

] Annotation, labeling, and concept of ground truth

] Best practices in Architecture and systems design in the context of ML

] "You learn a lot, at the same time the complexity also increases, so work with multiple teams in this process to learn it."  

] "Your speed increases based on the way you envision your architecture."

] Software engineering lifecycle vs machine learning development life cycle

] Youtube experience

] "My focus has always been from intermediate to experts."

] Content creation

] "You cannot do everything in MLOps at one stretch. You have to see what is critical for you."

] "For me, continuous training is not that critical because I don't want to take the freedom out of the data scientists."

] New contents planned

] IoT and Edge Analytics Predictive maintenance  

] "It's a two-way process. I learn then I teach."

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Coffee Sessions #40 with Srivatsan Srinivasan of AIEngineering, Scaling AI in Production.

//Abstract

//Bio

20+ years of intense passion for building data-driven applications and products for top financial customers. Srivatsan has been a trusted advisor to a senior-level executive from business and technology, helping them with complex transformation in the data and analytics space. Srivatsan also run a YouTube Channel (AIEngineering) where he talks about data, AI and MLOps.

//Takeaways

Understand the role and need of MLOps

Prioritize MLOps capability

Model deployment

Importance of K8s

//Other Links

AI and MLOps free courses - https://github.com/srivatsan88

Youtube channel: bit.ly/AIEngineering

--------------- ✌️Connect With Us ✌️ -------------

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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 Srivatsan on LinkedIn: https://www.linkedin.com/in/srivatsan-srinivasan-b8131b/

Timestamps:

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