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Showing 13 results
  • PEAK Matrix®
    July 27, 2026

    The US industrial contingent staffing market is gradually stabilizing following prolonged demand softness, while enterprises continue to navigate labor shortages, cost pressures, and changing workforce requirements. As hiring patterns evolve across manufacturing, logistics, warehousing, construction, and…
  • Viewpoint
    Sep. 18, 2026

    Payment Integrity (PI) is a key driver for containing medical costs and payment leakage, and is heavily outsourced. In a traditional black-box model, health plans receive findings, savings, reporting, and invoices while the logic, evidence, exceptions,…
  • PEAK Matrix®
    July 31, 2026

    Enterprises are increasingly relying on contingent talent to address specialized skill requirements, project-based work, and workforce flexibility amid ongoing macroeconomic uncertainty and changing hiring patterns. Demand remains strongest for AI, cloud, cybersecurity, digital engineering, and other…
  • Thematic Report
    May 18, 2026

    Mid-market enterprises are increasingly emerging as a strategic growth segment within the Human Capital Management (HCM) landscape as organizations scale operations, formalize HR processes, and modernize workforce management practices. These enterprises are seeking cloud-based platforms that…
  • PEAK Matrix®
    July 08, 2026

    Enterprises continue to retain mainframes for mission-critical workloads that demand resilience, security, performance, and transaction integrity. Rather than replacing these platforms, organizations are increasingly investing in modern mainframe services that enhance and extend retained environments through…
  • Provider Compendium
    Sep. 25, 2026

    Mainframes remain central to many enterprises because they support critical workloads requiring high resilience, security, performance, and transaction integrity. As cost pressures, skills constraints, resilience requirements, and hybrid integration needs increase, organizations are reassessing how these…
  • Tech Launch Perspective
    July 17, 2026

    The Data and Analytics (D&A) market continues to evolve as enterprises modernize fragmented data estates, strengthen governance, and prepare platforms for AI and agentic workloads. Organizations are prioritizing governed, interoperable, real-time, and context-rich data foundations that…
  • Tech Launch Perspective
    July 22, 2026

    Life sciences enterprises are moving beyond isolated generative AI pilots toward governed, multi-agent workflows that support clinical, commercial, and real-world activities. This shift is increasing demand for platforms that combine regulatory-grade data governance, enterprise interoperability, scalable…
  • Tech Launch Perspective
    May 18, 2026

    The Data and Analytics (D&A) market continues to evolve rapidly as enterprises modernize fragmented data estates, improve governance, and prepare their data foundations for AI and agentic workloads. Organizations are prioritizing unified, interoperable, and real-time data…
  • Future Scenarios for RD+I
    Sep. 17, 2026

    R&D organizations are under growing pressure to deliver faster innovation, improve productivity, embed AI, access scarce capabilities, and manage rising geopolitical and regulatory volatility. These pressures are increasingly testing traditional R&D operating models built around functional…
  • PEAK Matrix®
    July 02, 2026

    Mainframe modernization has become a strategic priority as enterprises seek to reduce run costs, address legacy talent constraints, and unlock digital business models without disrupting core systems. The market is shifting from rehost-led programs toward phased,…
  • Provider Compendium
    Sep. 16, 2026

    Mainframes remain central to many enterprises that depend on them for mission-critical workloads, but rising run costs, legacy talent constraints, technical debts, and pressure for faster digital innovation are increasing the need for modernization. Workload criticality,…
  • Innovation Watch
    Sep. 24, 2026

    Agentic analytics represents how enterprise analytics is evolving, bringing together data, Business Intelligence (BI), and AI to support data preparation, conversational exploration, visualization, insight generation, and action. As enterprises move beyond static reporting and manual analysis,…