Talk
Virtual
From infrastructure to insight: Building AI data platforms with security and governance by design
Data platforms power AI and analytics, but without built-in security and governance, risks multiply. This session explores strategies to secure pipelines, track lineage, enforce access, and optimize resources for trusted, compliant platforms.
CEST
Meet the speakers
In today’s data-driven world, businesses rely on data platforms to power AI, analytics, and smarter decision-making. Scaling platforms alone is not enough. Without governance and security built in, companies risk data breaches, compliance violations, and unnecessary costs from unused storage and compute.
This session explores how to design data infrastructures with governance and security at their core. Attendees will learn practical approaches for enforcing policies, ensuring data quality, tracking lineage, managing access, and optimizing the data lifecycle. Using real-world examples and proven architectures, this talk equips data platform architects, infrastructure engineers, and security professionals with tools to build platforms that are scalable, trusted, compliant, and sustainable.