Enterprise data and AI leaders face mounting pressure to deliver measurable business value from AI, often within increasingly compressed timelines. Yet traditional data operating models, characterized by manual pipeline development, ticket-driven workflows, and ongoing legacy system maintenance, continue to limit engineering capacity and slow innovation.

As demand for enterprise AI capabilities accelerates, organizations are rethinking how data engineering teams operate. Agentic AI presents an opportunity to move beyond manual, task-based development toward a more autonomous approach, where engineers oversee AI agents capable of planning, building, and testing data pipelines and products.

In this CDO Magazine webinar, presented in partnership with Maia by Matillion, enterprise data leaders explore how organizations can transition to agentic data operations while maintaining governance, data quality, and operational oversight. Drawing on real-world experiences, the discussion examines the evolving role of data engineers, the organizational changes required to support AI-driven workflows, and the leadership decisions needed to scale AI initiatives effectively.

Key Discussion Highlights

• Delivering Measurable AI Value: How data leaders can move beyond long-term AI roadmaps to demonstrate tangible business outcomes and address growing executive expectations.
• Building Agentic Data Teams: The shift from manual pipeline development to AI-assisted workflows, where engineers guide and oversee autonomous agents.
• Strengthening Governance and Oversight: Approaches to maintaining data quality, auditability, and regulatory compliance as organizations adopt agentic technologies.
• Evolving Engineering Roles and Skills: How organizations can prepare data teams for new responsibilities, develop AI-related capabilities, and enable engineers to focus on higher-value initiatives.
• Scaling Enterprise AI Adoption: Key organizational and operational considerations for reducing engineering backlogs, improving efficiency, and supporting sustainable AI adoption.

Featured Speakers

Host & Moderator

• Julian Wiffen, Chief of AI & Data Science, Maia by Matillion

Panelists

• Arun Nandi, Chief Data & AI Officer, Carrier Global
• Saydulu Kolasani, Chief Digital & Technology Officer, AXS