Software Compliance

The Department of Government Efficiency (DOGE) recently claimed that many federal agencies hold more software licenses than they have employees—many of which remain unused. This isn’t just wasteful; it highlights a missed opportunity for government software optimization at scale. Without centralized oversight, usage visibility, or a clear optimization strategy, agencies risk overspending, underutilizing assets, and

As IT Asset Management (ITAM) evolves to meet the demands of increasingly complex software environments, industry leaders will converge at IAITAM ACE 2025 to discuss advanced methodologies for compliance, cost optimization, risk mitigation, and IT asset lifecycle management. Open iT, a pioneer in software license management for engineering and specialty applications, will be participating at

Federal agencies face an escalating IT skills gap, undermining their ability to manage and optimize critical software assets. As the U.S. government continues to invest over $100 billion annually in IT, the federal IT talent gap poses significant challenges. According to the Government Accountability Office (GAO), poor software tracking, inefficient procurement practices, and insufficient IT

Efficient management of engineering software licenses is essential for organizations seeking to maximize resource utilization and optimization, ensure compliance, and streamline IT operations. ServiceNow Software Asset Management Professional (SAM Pro) provides a robust framework for monitoring and managing software assets across the enterprise. The integration of Open iT LicenseAnalyzer with ServiceNow SAM Pro significantly enhances

The U.S. government’s transition to cloud-based infrastructure and applications has accelerated significantly. However, a recent report by the U.S. Government Accountability Office (GAO) highlights significant challenges arising from restrictive software licensing practices imposed by vendors. These restrictions prevent federal agencies from fully leveraging cloud-based solutions, leading to unnecessary cost overruns, reduced operational efficiency, and suboptimal