Autonomous Infrastructure Economics: Algorithmic FinOps, Compute Optimization, and Mitigating LLMJacking
As enterprises operationalize generative AI and autonomous agentic workflows, compute expenditure has evolved from an accounting metric into an active security and reliability boundary. Building upon research presented in Observability for Large Language Models (Apress / Springer Nature) and patented methodologies in compute optimization and hallucination detection, this session provides an architectural deep dive into […]
