White Paper: Kubernetes and the Enterprise

Governance roles must evolve as operating models adapt to changing requirements. Broadly, the CIO and CTO take ownership of architecture, security, and scalability. The CDO or data leader is accountable for data quality, lineage, and stewardship. The AI/ML teams are responsible for model performance, monitoring, and validation, while business owners take charge of outcomes and decision accountability.

With agentic AI, measurement takes on added importance. Performance becomes a trust and accountability issue.

Systems built using traditional caching techniques will continue to struggle when demand concentrates. The ones built with efficiency of data coordination as the first constraint are the ones that will hold up best under peak load.

In this week’s real-time analytics news: Dell and Lenovo debut new systems for AI workloads.