Artificial Intelligence and the IoT: Special Report

AI in CQV is gaining momentum because the pressures on the industry are immediate. Manufacturing must scale faster.

Agentic AI promises to unlock massive productivity and efficiency gains for organizations, but those results are not being realized yet. Many see MCP (Model Context Protocol) as the key, but it will only provide the desired business impact if implemented in the right way. This article explores critical areas that will help organizations achieve profound business results through agentic AI and MCP.

Engineers should rely on AI to automate tedious tasks like healing broken tests automatically and generating boilerplate test cases. But humans should remain in charge of which tests are executed and how to react to complex test failures.

In this week’s real-time analytics news: NVIDIA launched its new NVIDIA Rubin platform that accelerates AI workloads.

Most organizations are attempting to solve a 21st-century problem with a 20th-century approach: manual effort. They are falling into “The Manual Migration Trap,” a predictable and avoidable series of failures rooted in an over-reliance on human intervention to solve a machine-scale problem.

Zero Trust assumes a strong, unified source of identity and policy. Most enterprises have the opposite. Create a cross-functional “Zero Trust Council” with shared KPIs tied to business outcomes to fix the situation.

Organizations that align their data strategies with 2026 cloud evolution trends will be well-positioned for success in the modern AI-dominated business world.

Enterprise leaders call on providers to address the automation gap between enterprise IT systems and service provider networks.