The AI race is often measured by model quality, speed, and token cost. For business leaders, those measures contribute to a larger question: Can an organization deliver useful AI outcomes reliably, at the right cost, and with a level of risk it can defend? To answer that question, organizations need comparable evidence and data across changing models, frameworks, and providers. OpenTelemetry helps by giving teams a common way to capture and describe AI behavior. That can reduce the need to maintain a separate data model for each integration. Shared AI conventions can reduce duplicate...

Source: The New Stack