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CLIMS: Centralized Control for Complex Licensing Environments
Managing software licenses across multiple servers, sites, and license managers is a persistent challenge for engineering and software-driven organizations. Without centralized control, organizations face fragmented operations, compliance risks, underutilized licenses, and

Mapping Software License Usage to Real Entitlements for Better Decisions
Software license servers report usage at the feature level, while organizations buy entitlements at the package or feature set level. That mismatch prevents

Achieving Operational Readiness for the Next Wave of AEC Software
As AEC firms adopt advanced design, simulation, and lifecycle solutions, understanding how these tools are used across teams becomes essential for maintaining operational continuity and

Gartner’s 2026 Tech Trends: Visibility Remains a Competitive Edge
Gartner’s top strategic technology trends for 2026 highlight how data, AI, and automation are reshaping enterprise IT strategies. For engineering,

Navigate SAP Migration Complexities with Optimizer for SAP® Licensing
As enterprises move from ECC or other legacy systems to S/4HANA, the greatest challenges often stem not from technology, but
Smart Hexagon Software Monitoring: Powering Innovation in the Automotive Industry
Hexagon software is redefining how the automotive industry approaches electrification. As electric and hybrid vehicles evolve into intelligent digital platforms, design

5 Effective Strategies to Stand Strong in Software Renewals
Software license renewal is something every organization deals with, whether it’s once a year or more often. It’s easy to treat it like a routine task, but

Closing the Engineering Visibility Gap in SAM Solutions
The engineering visibility gap in Software Asset Management (SAM) tools has become a growing challenge for organizations seeking to optimize

Open iT Now Supports Red Hat OpenShift Virtualization (KubeVirt)
Enterprises are increasingly moving toward hybrid environments that unify containerized workloads with traditional virtual machines. This approach preserves existing investments
