4min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Real-Time ML Workflows at Capital One with Disha Singla - #606

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Are You Working in a Startup?

I've seen being a machine learning engineering leader is very important to standardize the tools. What this does is like now these companies which have a lot of ML associates, data scientists, MLEs, but what it allows them to come with a centralized process where they can identify how the ingestion pipelines are working. There are scripts in place where you just cannot spin off an EC2 by going to your control plane,. You need to follow some rules and practices, right? And then as I'm talking about governance and auditing,  you need to be able to store your training runs, the input and output parameters that were part of the model, right? So that if needed,

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