James Burns

If we are building a future with 100,000 agents accessing our platform, relying on human administrators to click buttons and approve tickets is a non-starter. The math simply doesn’t work; human admin teams cannot scale linearly with an exponential agent workforce. This session explores how the Data Platform team is solving this by building “agentic admins” — autonomous systems capable of managing the platform for us. We will discuss the shift from manual provisioning to agent-led resource management, permissions granting and configuration tuning. Learn how we are architecting the control plane that allows a small team of humans to govern an army of 100,000 digital users without burning out.

There are many challenges to making a data platform actually a platform, something that hides complexity. Data engineers and scientists are looking for a simple and intuitive abstraction to focus on their work, not where it runs to maintain compliance, what credentials it uses to access data or how it generates operational telemetry. At Databricks we’ve developed a data-centric approach to workload development and deployment that enables data workers to stop doing migrations and instead develop with confidence. Attend this session to learn how to run simple, secure and compliant global multi-cloud workloads at scale on Databricks.