Enterprise Data Science Field Guides

Everything you need to know as a data science leads tasked with assembling and building teams.

This field guide will teach you about key aspects of hiring a top-class data science team, deep diving into the process of recruiting, interviewing and evaluating data science candidates.

Whether you're managing a team today or preparing to launch one, this field guide will make you a better data science manager in the enterprise.

Data science requires its own lifecycle and methodology. A defined process for choosing projects, managing them through deployment, and maintaining models post-deployment.

Learn how to modernize IT's infrastructure approach to ensure data science teams perform their best, and maximize impact to the business

Learn about the types of data science platforms, the challenges they solve, and how to choose whether to build or buy an enterprise data science platform

Learn how Enterprise Machine Learning Operations (MLOps) allows organizations to scale data science by progressing through the data science lifecycle faster with enterprise capabilities.

Learn about the practice of model management, an organizational capability to develop and deliver models that create a competitive advantage.