Prerequisite: None
AI is creating significant opportunities for innovation; however, data teams are facing a new set of challenges when it comes to powering these AI experiences. Agentic AI requires high quality data, but data engineering teams are struggling to keep up with the growing demand. Data agents can help streamline repetitive tasks and boost your data teams’ productivity. Data engineers benefit from automated data preparation and pipeline management, while ML engineers can deploy and monitor models more effectively.
Join this session to learn how AI is changing the data engineering landscape by bringing automation, intelligence, and natural language capabilities into daily workflows. Hear how Google Cloud is building data agents directly in its AI-powered data platform and how you can increase productivity and automate mundane data engineering tasks so your team can focus on innovation.