ModelOp News

A new analyst report points to the rising enterprise need for explainability, accountability, and trustworthy AI as ML, GenAI, and agentic systems scale — and underscores why responsible AI now needs an operating layer, not a parallel workstream.

Two-thirds of enterprises still estimate AI ROI rather than measure it. ModelOp CTO Jim Olsen unpacks the "AI value illusion" on CNBC.

In a new Computerworld feature, ModelOp CTO Jim Olsen explains why AI ROI often breaks down after promising pilots—when production complexity, weak inventory, and poor lifecycle oversight begin to drive up cost and erode accountability.

In a new TechTarget feature, ModelOp's Jim Olsen explains why CIOs need visibility into the full compute cost of AI use cases—including vector databases, embedding models, and other hidden components that can quietly erode value.

In a new article for the American Management Association, ModelOp CTO Jim Olsen outlines why agentic AI demands stronger lifecycle governance, clearer accountability, and better visibility into business value.

ModelOp has been named the Diamond winner in the Responsible AI Platform category in the 2026 Pinnacle Awards, recognizing its leadership in enterprise AI governance, risk management, and responsible AI deployment.