June 17, 2022, 1:44 p.m. | Ayush Patel

Towards Data Science - Medium towardsdatascience.com

Stages, tips, and tools across the AI/ML lifecycle

Image source: Unsplash

Machine learning (ML) in the enterprise has been rapidly evolving over a narrow span. While it has grown exponentially, several organizations are still grappling to match the pace at which the ML stack is evolving.

This end-to-end guide to the Modern AI Stack hopes to bring the best tools and practices under one common space to serve as a reference for:

  • Leaders in the AI space including managers, directors, …

ai ai explainability ai-monitoring ai observability ai stack mlops modern ai stack

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Alternant Data Engineering

@ Aspire Software | Angers, FR

Senior Software Engineer, Generative AI

@ Google | Dublin, Ireland