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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…
  • Voice of the Customer
    May 13, 2026

    Enterprise AI platforms have become foundational for scaling AI from experimentation to production, as organizations increasingly rely on them to manage model development, deployment, governance, and lifecycle operations across AI workloads. As enterprises navigate growing complexity…
  • Blog
    April 10, 2026

    For most of the last decade, enterprise application development was evaluated along a familiar axis: how fast can you ship, how much manual coding is required, how well does it integrate, and how reliable and maintainable the…
  • Blog
    April 02, 2026

    For years, application development platforms have competed on familiar dimensions: speed of build, workflow orchestration, integration depth, deployment flexibility, and governance. Leading platforms such as Appian, Pega, and ServiceNow have built strong positions by enabling enterprises…
  • Blog
    Jan. 13, 2026

    For the past two years, enterprise Artificial Intelligence (AI) strategies have revolved around one central question: which model should we use? Larger, faster, and more fluent foundation models, especially Large Language Models (LLMs), became the focal point of experimentation and investment.  That phase is…
  • Tech Launch Perspective
    Dec. 30, 2025

    AWS continues to strengthen its positioning in the modern application development landscape, integrating AI and DevOps capabilities across its expanding toolset. This report offers Everest Group’s analysis of key announcements made at AWS re:Invent 2025, with…
  • 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. 16, 2025

    Enterprises are increasingly adopting low-code platforms to speed up application development, modernize legacy systems, and enable greater collaboration between IT and business teams. By simplifying development through visual tools and reusable components, low-code platforms help organizations…
  • Provider Compendium
    Dec. 15, 2025

    Enterprises are rapidly adopting AI-native approaches to application development, embedding AI capabilities directly into business system architecture. This shift moves beyond traditional software builds, enabling intelligent automation, real-time personalization, and data-informed decisions across use cases such…
  • Blog
    Nov. 25, 2025

    Artificial Intelligence (AI) is shifting from tools that predict to agents that act. That change doesn’t simply add new software to the stack; it rewires how decisions get made, how work flows across teams, and how value is created.   In that world, the Chief Information…
  • 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…
  • 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,…
  • PEAK Matrix®
    Oct. 29, 2025

    Enterprises are reimagining quality as a strategic engineering function rather than a downstream testing activity. As a result, demand for specialized Quality Engineering (QE) services is growing rapidly across industries. This analysis shows how the specialists…
  • Tech Launch Perspective
    Sep. 25, 2025

    Zoho’s July 2025 product announcements signal a decisive move toward becoming an AI-first enterprise platform, with a particular focus on agentic AI. This report evaluates how Zoho’s ecosystem, including Zia Agents, Zia Agent Studio, and Zia…
  • PEAK Matrix®
    Sep. 16, 2025

    As AI capabilities shift from stand-alone components to embedded elements within enterprise applications, the application development landscape is undergoing rapid transformation. Businesses now seek software that enables dynamic decision-making, automates operations, and delivers personalized experiences through…
  • PEAK Matrix®
    Sep. 12, 2025

    As enterprises accelerate digital transformation, low-code application development platforms are playing an increasingly strategic role in enabling organizations to quickly build engaging, intuitive, and personalized applications. Unlike traditional development approaches, low-code solutions empower businesses to enhance…
  • PEAK Matrix®
    Sep. 12, 2025

    As enterprises accelerate digital transformation, the focus on intelligence and decision support is becoming central to business success. Low-code application development platforms are increasingly being leveraged to build applications that provide actionable insights, enable complex analysis,…
  • Tech Launch Perspective
    Aug. 12, 2025

    Enterprises are increasingly prioritizing AI-powered development to automate workflows, enhance personalization, and accelerate innovation at scale. Against this backdrop, AWS introduced Kiro, a standalone IDE to orchestrate agentic AI workflows for modern application development, emphasizing end-to-end…

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