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Data Science and Machine Learning Platforms: Should You Build or Buy?

Published by Anaconda

This document outlines the key considerations for organizations deciding whether to build or buy a data science and machine learning platform. It explores factors such as the total cost of ownership, the need for specialized talent, infrastructure requirements, and the time it takes to get models into production. It also highlights the long-term maintenance needs of a custom-built platform versus the benefits of vendor solutions, which offer quicker deployment, support, and regular updates. The guide provides a flowchart and a cost calculator to help organizations make an informed decision based on their specific needs.

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Related Categories Artificial Intelligence, Generative AI, Deep Learning, Cognitive Computing, Machine Learning Models, AI in Business, AI-powered Analytics, AI Platforms, AI Strategy, AI Development Tools, AI Deployment