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Investing in Tech Stack

Explore how to choose and manage a flexible tech stack essential for AI product development. Understand collaboration among data teams, infrastructure setup for handling data at scale, and the importance of automation and agile processes to optimize AI workflows and product outputs.

Tech stack considerations

Understanding the tech stack and languages that will give us the most flexibility is the most important part of beginning our tech stack journey. In this lesson, we’ll work closely with our data science and data engineering teams to create the proper channels for delivering the relevant data to our models in a reliable way so that all the other stakeholders involved in building our product can trust the infrastructure in place.

Managing ML experimentation is a formidable undertaking in and of itself, and we’ve seen tools such as ...