Neil Leblanc

Governance is often viewed as a constraint on AI innovation, especially when speed is a priority. But in practice, many organizations find that weak governance is what prevents AI from scaling. This session reframes governance as a critical accelerator for agent adoption, especially in regulated and high-risk environments. Let’s understand how embedding governance, security, and lineage across data, models, and agents reduces risk while enabling better adoption, increasing speed, and boosting confidence. Join us as we decode why enterprises that lead with trust are better positioned to scale AI without constant course correction.

Amazon SageMaker offers a fully managed MLflow capability, helping you to manage the entire ML lifecycle more efficiently. In this chalk talk, learn how to effortlessly set up and manage MLflow Tracking Servers with just a few steps, streamlining the process and boosting productivity.