Content for data science managers about building, managing, and growing successful data science teams and executing impactful projects.
Whether you’re managing a data science team today, preparing to launch one, or hope to do so in the future, 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.
Content for IT Leaders about tooling, governance, and cloud infrastructure.
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.