Scaling Your FinOps Practice with Specialized Agentic AI Workforces, Speakers
In this session, we explore how Multi-Agent AI Systems are moving beyond simple dashboards to actively manage cloud environments. We will walk through real-world demo of multi-agent architectures built on the three pillars of autonomy: Model Context Protocol (MCP) for secure data and tool access, the Agent Development Kit (ADK) for standardized agent building, and the Agent-to-Agent (A2A) protocol for multi-agent orchestration. See how Inventory Specialists discover waste, Optimization Specialists execute safe patches with human-in-the-loop, and Visual Scientists explain data to practitioners.
Delivering Measurable ROI with Agentic Transformation
AI pilots are easy to launch, but scaling them into revenue-generating engines requires a fundamental shift in strategy. In this session, we unveil a rigorous framework for navigating the agentic era and proving the business value of AI. We will guide attendees through the GCP Agentic Transformation Framework, demonstrating how to evolve from single-purpose tools to autonomous, multi-agent systems that drive enterprise-wide efficiency and measurable P&L impact. This is a blueprint for aligning the trinity of business, user, and technology to ensure AI investments deliver real returns.