Monday, May 11, 2026 | 16 mins read05/11/2026 | 16 mins read
This edition of The Data Massagist explores the rise of agent ecosystems as the next evolution of enterprise AI. Instead of isolated copilots or chatbots, organizations are moving toward Multi-Agent Systems (MAS) where specialized AI agents collaborate, delegate tasks, and consume the outputs of other agents to execute end-to-end workflows. The article explains why this shift is happening now and how enterprises are adopting coordinated intelligence patterns such as triage (intake and prioritization), routing (dynamic task delegation), and orchestration (workflow execution and control). It highlights how industries like telecom, healthcare, manufacturing, and energy are already applying these models, and why the future of AI will depend on building scalable, governed ecosystems of interacting agents rather than standalone tools.
Thursday, May 7, 2026 | 7 mins read05/07/2026 | 7 mins read
Microsoft Fabric uses a unified, token-based AI billing model where all AI features — including Copilot for Power BI, Copilots in Fabric, Data Agents, and Operational Agents — consume Capacity Units (CUs) from the organization’s Fabric capacity. Instead of separate AI licenses or per-prompt fees, costs are calculated based on input and output tokens, with output tokens typically driving higher consumption. The article explains how AI workloads are monitored through the Fabric Capacity Metrics App, Admin Portal, and Activity Logs, giving organizations visibility into token usage, CU consumption, and workload spikes. It also clarifies licensing considerations for Power BI Copilot and highlights the difference between Data Agents (AI that answers) and Operational Agents (AI that acts autonomously). Ultimately, the model provides predictable, transparent, and centralized AI cost management within Microsoft Fabric.
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