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Our quarterly Residual Value Forecast (RVF) report provides forecasts for the following categories of IT equipment: desktop computers, laptops, network equipment, printers, servers, storage devices, and other IT equipment. It also includes residual values for other non-IT equipment in the following categories: copiers, material handling equipment (forklifts), mail equipment, medical equipment, test equipment, and miscellaneous equipment such as manufacturing machinery and NC machines. Residual Value Forecasts are provided for five years for end-user, wholesale, and orderly liquidation values (OLV) prices.
In today’s hyperconnected economy, supply chains are only as strong as the infrastructure that powers them. Yet, the U.S. electricity grid—much of it built in the mid-20th century—is buckling under the dual pressures of aging infrastructure and surging demand from AI-driven data centers. The Energy Information Administration (EIA) projects global electricity demand could increase by about one-third to three-quarters by 2050, depending on the case . As AI becomes a cornerstone of modern business operations, its energy appetite is reshaping the grid and exposing vulnerabilities that could ripple across global supply chains. For C-level executives, the question is no longer if disruptions will occur, but how to prepare. Can AI, paradoxically, be both the disruptor and the solution? How can C – Level executives leverage AI to future-proof their supply chains against energy volatility and infrastructure fragility?
With over 70 jurisdictions racing to regulate Artificial Intelligence (AI) systems, procurement leaders face a compliance minefield that could derail innovation and vendor agility. The European Union’s AI Act spans over 140 pages. The U.S. Executive Order on “Safe, Secure, and Trustworthy AI” adds over 30 pages. Brazil, China, Canada, Singapore, and numerous others are releasing their own legislation — creating a rapidly diversifying global mandate.
The Workday HCM Services 2025 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any Workday HCM project. The report also highlights key challenges that enterprises face today.
Enterprises are accelerating the adoption of Workday HCM to standardize HR operations, strengthen compliance, and enable AI-driven workforce insights at scale. Workday’s native AI agents are gaining traction, with early pilots focused on recruiting, payroll accuracy, and employee self-service, where agentic automation delivers clear and measurable efficiency gains. Service providers are embedding AI across the Workday services life cycle, from data readiness and configuration to testing, release management, and continuous optimization. They are also driving enterprise-wide AI adoption, shifting pilots into scaled deployments that deliver sustained workforce transformation.
The Workday HCM Services 2025 RadarView™ assists organizations in identifying strategic partners for Workday HCM adoption by offering detailed capability and experience analyses for service providers. It provides a 360-degree view of key Workday HCM service providers across practice maturity, partner ecosystem, and investments and innovation, thereby supporting enterprises in identifying the right Workday HCM services partner. The 49-page report highlights top supply-side trends in the Workday HCM space and Avasant’s viewpoint.
Salesforce’s decision to restrict how Slack data can be used by external AI tools marks a pivotal moment in enterprise technology. By limiting how customers can leverage their own data, particularly for AI training or third-party search functions, Salesforce is moving toward a closed-data model that locks value within its own ecosystem.
The Network Managed Services 2025 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any network modernization projects. The report also highlights key network modernization challenges that enterprises face today.
The network is increasingly being seen as a commodity service; in some cases, it is less strategic. Along with this is coming the services mindset, leveraging Network as a Service (NaaS) model to drive on-demand connectivity. Unified network operation center (NOC) and security operation center (SOC) operations are emerging to ensure proactive incident management, business continuity, and compliance across hybrid environments. Organizations are also experimenting with generative AI (Gen AI) and increasingly leveraging agentic AI to enhance monitoring, predictive maintenance, and troubleshooting, resulting in faster detection and more secure operations. Sustainability has become central, with the adoption of energy-efficient devices, renewable-powered infrastructure, and optimized designs to reduce environmental impact. In response, service providers are expanding capabilities with enterprise-wide SASE, zero-trust access, agentic AI-driven NOCs, and intent-based networks, delivering agile, intelligent, and secure networks for the future.
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