Beyond the Viewer: How Artificial Intelligence Is Transforming the Way Engineers Review

Explore the shift from static 3D visualization to intelligent, connected engineering review — and why governing reality-captured data at its source beats viewing it downstream.

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What's new in Aspect Pressure Vessel 28: Design Faster, Comply Smarter, Win More Projects

Aspect Pressure Vessel 28 delivers cutting-edge tools for pressure vessel design, featuring 2025 ASME compliance, FEA integration, guided workflows, enhanced collaboration, and 3D visualization to boost safety and efficiency.

Scaling without losing control: Building a repeatable operations blueprint

Most data centers already generate more data than their teams can realistically use. The challenge is rarely collecting information, it’s turning it into actionable insights. Many operators still rely on the information spread across multiple systems, making it difficult to understand the full picture during maintenance, incidents or audits. This session looks at how organizations are bringing operational and engineering data together to create a more consistent way of running their facilities.

Managing AI infrastructure at scale: Why speed to capacity depends on lifecycle intelligence

Getting new data center capacity online is increasingly challenging as AI demand surges, power becomes harder to secure, cooling needs evolve, and delivery timelines tighten. As projects transition from design and construction to operations, information often becomes fragmented. This episode explores why lifecycle continuity matters and how operators can scale without creating new challenges.

What's new in Aspect Pressure Vessel 28: Design Faster, Comply Smarter, Win More Projects

Aspect Pressure Vessel 28 delivers cutting-edge tools for pressure vessel design, featuring 2025 ASME compliance, FEA integration, guided workflows, enhanced collaboration, and 3D visualization to boost safety and efficiency.

Scaling without losing control: Building a repeatable operations blueprint

Most data centers already generate more data than their teams can realistically use. The challenge is rarely collecting information, it’s turning it into actionable insights. Many operators still rely on the information spread across multiple systems, making it difficult to understand the full picture during maintenance, incidents or audits. This session looks at how organizations are bringing operational and engineering data together to create a more consistent way of running their facilities.

Managing AI infrastructure at scale: Why speed to capacity depends on lifecycle intelligence

Getting new data center capacity online is increasingly challenging as AI demand surges, power becomes harder to secure, cooling needs evolve, and delivery timelines tighten. As projects transition from design and construction to operations, information often becomes fragmented. This episode explores why lifecycle continuity matters and how operators can scale without creating new challenges.