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  • Blog
    July 08, 2026

    Artificial Intelligence (AI) is having its moment. After years of cautious skepticism, pilot-stage overhang, and boardroom debates, the conversation has moved beyond experimentation. Enterprises are no longer asking whether to deploy agents, they are now asking how fast they can scale them across their entire workflow estate. However, speed comes at a price and almost nobody is doing the math.   The warning signs…
  • Provider Compendium
    June 25, 2026

    Enterprise search platforms are becoming a foundational layer in modern digital enterprises, enabling employees, customers, and AI systems to efficiently discover and access information distributed across applications, databases, collaboration tools, content repositories, and business systems. As…
  • Tech Launch Perspective
    June 23, 2026

    The Data and Analytics (D&A) market continues to evolve as enterprises modernize fragmented data estates, improve governance, and prepare data platforms for AI and agentic workloads. Organizations are prioritizing governed, interoperable, real-time, and context-rich data foundations…
  • 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
    April 21, 2026

    As enterprises enter the next wave of AI-led transformation, agentic AI is emerging as a powerful force, marked by intelligent systems capable of autonomous decision-making and contextual actions. Unlike earlier AI phases focused on content generation…
  • Viewpoint
    April 20, 2026

    As enterprises transition from experimentation to scaled AI deployment, the defining question is shifting from whether AI can deliver value to whether it can do so responsibly, consistently, and at scale. The rapid rise of generative…
  • Roundtable
    April 16, 2026

    Following our GBS Operating Model FutureCast workshop, Everest Group is convening a select group of GBS leaders for an interactive working session on Thursday, May 07, to pressure test emerging perspectives on reimagining the operating model in the age of agentic AI.  …
  • Roundtable
    March 31, 2026

    Following our GBS Operating Model FutureCast workshop, Everest Group is convening a select group of GBS leaders for an interactive working session on Tuesday, April 14, to pressure test emerging perspectives on reimagining the operating model in the age of agentic AI.  …
  • Provider Compendium
    Dec. 30, 2025

    Enterprises are repositioning quality from a downstream testing activity to a strategic engineering capability embedded across the software development life cycle. As digital, cloud, and AI initiatives scale, expectations are moving beyond defect identification toward resilience,…
  • Provider Compendium
    Dec. 30, 2025

    Enterprises are experiencing rising data complexities as they scale cloud adoption, modernize data estates, and operationalize AI. In this landscape, undetected data issues, ranging from quality degradation and schema drift to pipeline failures and governance lapses,…
  • LinkedIn Live
    Nov. 19, 2025

    In an evolving landscape where analyst relations (AR) shape market perception and business success, leaders continued to look for proven tactics embraced by experienced AR professionals. Everest Group’s Katrina Menzigian, along with industry experts from other…
  • PEAK Matrix®
    Nov. 13, 2025

    Enterprises are elevating quality from a downstream test phase to a strategic engineering discipline woven through the software development life cycle. As digital, cloud, and AI programs scale, expectations shift from defect detection to resilience, velocity,…
  • Viewpoint
    Nov. 10, 2025

    As enterprises accelerate digital transformation and embrace next-generation technologies such as AI, generative AI, and cloud-native platforms, managing quality at scale has become increasingly complex. Traditional tool-centric quality approaches fall short in addressing fragmented processes, inconsistent…
  • Blog
    Nov. 06, 2025

      Modern enterprises rely on data as the backbone of digital, analytics, and generative AI (gen AI) capabilities. But rising consumption, complex multi-cloud pipelines, and proliferating stakeholders are directly affecting reliability and costs. Data observability acts as the operating layer that gives teams continuous visibility into data…
  • Market Insights™
    Nov. 05, 2025

  • Market Insights™
    Nov. 05, 2025

  • Market Insights™
    Nov. 05, 2025

  • Market Insights™
    Nov. 05, 2025

  • Blog
    Nov. 05, 2025

    In 2006, I visited my first captive center in Bengaluru. At the time, the model was still in its formative years – many multinational organizations were only beginning to explore the potential of setting up their own in-house centers…
  • LinkedIn Live
    Nov. 03, 2025

    As data ecosystems became increasingly complex—with the proliferation of Gen AI and agentic AI implementations—enterprises required real-time visibility into data health, flow, cost, and compliance. Data observability emerged as a strategic layer of trust across digital,…

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