• NEW
    Blog
    May 29, 2026

    The SAP services market has long been shaped by cloud migration, clean-core modernization, and application managed services. At Sapphire 2026, SAP put forward a more coherent architecture for Artificial Intelligence (AI)-enabled enterprise execution as a sequel…
  • NEW
    Blog
    May 29, 2026

    Enterprise Artificial Intelligence (AI) is moving closer to the systems where work happens. For years, automation, Intelligent Document Processing (IDP), workflow orchestration, and AI agents often sat as separate layers around core enterprise platforms. They helped digitize tasks, extract…
  • NEW
    See Us At
    May 29, 2026

    As IT service delivery evolves from human-led models to AI-enabled and agentic platforms, sourcing leaders must separate marketing claims from measurable outcomes. Service providers are introducing ambitious productivity commitments tied to automation, Gen AI, and agentic AI, but…
  • NEW
    Blog
    May 28, 2026

    Artificial Intelligence (AI) compression has been widely debated across the technology services industry. However, the AI also presents expansion opportunities, and this may lie deeper in the infrastructure stack.  Three recent moves by leading providers signal an emerging shift in strategy:  Cognizant’s acquisition of Astreya strengthens…
  • NEW
    Viewpoint
    May 28, 2026

    LTM’s acquisition of Randstad Digital’s Technology and Consulting Services business in Europe and Australia represents a strategically significant move in the evolving IT services landscape. More than a traditional scale acquisition, the transaction reflects how mid-tier…
  • NEW
    Viewpoint
    May 28, 2026

    The insurance industry is entering a new AI adoption phase, one where the challenge is no longer generating insights, but executing them. Despite significant investments in data platforms, analytics, and AI, most carriers struggle to translate…
  • NEW
    LinkedIn Live
    May 28, 2026

    What is the “context layer” for organizational AI, and what will it look like in the race to find value?  Though autonomous AI systems are being deployed with greater frequency, there remains a persistent issue of a lack…
  • NEW
    Blog
    May 26, 2026

    Agentic Artificial Intelligence (AI) has rapidly evolved from an emerging concept to a growing enterprise priority, driven by advances in foundational models, orchestration frameworks, and system integration. Unlike deterministic automation, agentic systems can interpret objectives, decompose…
  • Research & Development (R&D) leaders are operating under an intensifying mix of pressures. R&D has become increasingly critical to long-term enterprise competitiveness; at the same time, leaders are being asked to move faster, integrate Artificial Intelligence (AI) and digital technologies into workflows, improve commercialization outcomes,…
  • NEW
    May 26, 2026

    Clinical development teams must manage trial complexity, fragmented data, slower patient recruitment, and tighter regulatory scrutiny, with AI options offering an appealing solution to these operational challenges. Everest Group’s report, Innovation Watch: AI Applications in Clinical…
  • NEW
    Viewpoint
    May 26, 2026

    AI is fundamentally changing how enterprises design, manage, and scale workforces, elevating workforce strategy into a core enterprise priority. As organizations adopt AI across business functions, expectations for HR leaders continue to grow rapidly. Chief Human…
  • Technology Awareness Deep Dive
    May 25, 2026

    This report examines the evolution of neoclouds as AI-first infrastructure platforms designed to support large-scale AI training, inference, and data-intensive workloads. It explores how growing AI demand is reshaping cloud infrastructure economics, pushing enterprises toward GPU-centric,…
  • Join Shirley Hung, Partner at Everest Group, for a strategic discussion on whether your finance function is ready for 2027, and how to adapt to the shift toward AI-powered finance. Gain actionable insights on emerging AI…
  • Voice of the Customer
    May 22, 2026

    Enterprises are redefining their Master Data Management (MDM) strategies as data reliability, governance, and AI readiness become central to enterprise transformation. As organizations modernize their data architecture and scale AI, generative AI, analytics, and automation initiatives,…
  • PEAK Matrix®
    May 20, 2026

    Modern enterprises face growing challenges in accessing and managing information distributed across structured and unstructured systems, cloud platforms, collaboration tools, and enterprise applications. As enterprise data volumes expand and demand rises for faster, AI-driven decision-making, traditional…
  • Viewpoint
    May 20, 2026

    Work intelligence is emerging as a distinct market category as enterprises move beyond traditional job-, role-, and skills-based workforce models toward a more granular understanding of tasks, workflows, handoffs, and human-AI interaction. This Viewpoint defines work…
  • FEATURED
    Viewpoint
    May 20, 2026

    The way enterprises buy and consume technology and IT services is undergoing a structural shift. As AI becomes increasingly embedded across the deal lifecycle, enterprise buyers are reassessing traditional FTE-led commercial models and seeking pricing approaches…
  • Viewpoint
    May 20, 2026

    Enterprises are seeking to improve customer outcomes while managing cost-to-serve, fragmented processes, and rising service complexities. Agentic AI addresses these challenges by enabling autonomous workflow execution within the contact center, with the ability to interpret context,…
  • Emerging Technologies
    May 20, 2026

    Building enterprise-grade cybersecurity now requires more than strengthening defenses. Organizations must create adaptive, resilient, and trust-centric security architectures that continuously evolve against increasingly intelligent threats. Cybersecurity’s next era will depend on advancing protection, governance, and operational…
  • Voice of the Customer
    May 20, 2026

    Software product engineering remains a major enterprise investment area, but buyers are reassessing provider relationships amid macroeconomic uncertainty, talent constraints, and growing demand for measurable business impact. Enterprises increasingly seek partners that can support AI-native development,…

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