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How HR Tech Company Sense Scaled their ML Operations using Iguazio

Iguazio

This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers.

ML 52
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How Sense Uses Iguazio as a Key Component of Their ML Stack

Iguazio

This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers.

ML 52
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Authoring custom transformations in Amazon SageMaker Data Wrangler using NLTK and SciPy

AWS Machine Learning Blog

You can integrate a Data Wrangler data preparation flow into your machine learning (ML) workflows to simplify data preprocessing and feature engineering, taking data preparation to production faster without the need to author PySpark code, install Apache Spark, or spin up clusters. Sovik Kumar Nath is an AI/ML solution architect with AWS.

AWS 101