Building the Foundation for AI-Assisted Data Science

AI-assisted development is transforming data science and research. But without a secure, curated source of truth for R and Python packages, your teams and AI agents risk relying on outdated, vulnerable, or unapproved libraries.

On April 14th at 12:00 PM ET, join us to explore why package management is the first and most critical step in building a secure AI-ready data stack. We’ll discuss how enterprise-grade governance, curated repositories, binary optimization, and repository authentication reduce risk while improving performance and reproducibility across teams.

Through a thought leadership discussion and high-level demonstration from our package management expert, Joe Roberts,, you’ll see how Package Manager integrates with Workbench and Connect to create a seamless, governed ecosystem that supports both human researchers and AI assistants so your teams spend less time troubleshooting dependencies and more time delivering results.

Whether you are scaling Shiny apps, supporting research computing, or enabling AI copilots, the foundation starts here.