Operations | Monitoring | ITSM | DevOps | Cloud

By 2026, the GPU shortage isn’t a supply-chain hiccup anymore. It’s baked into the system. Even after pouring billions into CapEx, most enterprises still want 40% more GPU capacity than they actually have. And it’s not because they’re chasing moonshots. Technology companies are training foundation models while serving inference for millions of users on the same clusters. AI labs are juggling fine-tuning, evaluation, and real-time experimentation side by side.

Artificial intelligence has moved far beyond experimentation. In 2026, AI systems are embedded into customer support workflows, clinical decision support tools, fraud detection engines, and internal copilots across nearly every industry. Adoption is accelerating quickly. According to McKinsey, 23% of organizations are already scaling agentic AI systems, while another 39% are actively experimenting with them. Yet the path to reliable production AI remains uncertain.

On March 2, 2026 at 23:30:24 UTC, we experienced an issue where the Zoom AI scribe was unable to join calls, rendering Zoom meeting transcription unavailable for all users. On March 2, 2026 at 23:30:24 UTC, we experienced an issue where the Zoom AI scribe was unable to join calls, rendering Zoom meeting transcription unavailable for all users. The issue persisted from approximately February 28 through March 5, 2026.

Fresh insights from SHARE Orlando reveal mainframe modernization isn't about replacement—it's evolution. From hybrid architectures to AI-driven automation, enterprises are transforming legacy systems into agile, integrated platforms while preserving core reliability.

As enterprises accelerate digital transformation, technology performance has become inseparable from business performance. Customer experiences, revenue streams, and operational efficiency increasingly depend on the reliability of complex, distributed systems. In this environment, full-stack observability is no longer a technical aspiration — it is a strategic necessity.

If you want to bring Microsoft-managed devices into a centralized IT Asset Management workflow, integrating InvGate Asset Management with Microsoft Intune is a practical way to do it. This Intune integration for ITAM allows you to add Microsoft Intune as a discovery source in InvGate Asset Management. As a result, you can synchronize device data, improve visibility across managed endpoints, and work from a more complete inventory inside a single platform.