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  • Blog
    July 29, 2026

    The pharmaceutical technology market is moving beyond point solutions. For years, providers competed by solving specific problems within individual parts of the value chain. Today, differentiation increasingly depends on how well those solutions can understand context,…
  • Provider Recognition
    July 15, 2026

    Pharmaceutical enterprises are accelerating technology investments to modernize operations across the pharmaceutical value chain spanning drug discovery, clinical development, manufacturing, sales and marketing, supply chain and distribution, and pharmacovigilance. As AI, cloud, and data-driven capabilities become…
  • 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…
  • 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.  …
  • Thematic Report
    March 26, 2026

    Pharmaceutical enterprises are reassessing their IT services sourcing strategies amid moderate growth, budget discipline, and rising innovation expectations. As provider consolidation intensifies, a small group of leading providers continues to capture a disproportionate share of enterprise…
  • 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…
  • Viewpoint
    Jan. 09, 2026

    As pharma enterprises modernize data architectures, automate workflows, and scale AI across the value chain, scientific expertise is becoming essential to realize meaningful outcomes from digital initiatives. Without scientific grounding, digital systems risk producing insights that…
  • 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…
  • 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,…
  • Category Strategy Templates
    Oct. 17, 2025

    Procurement organizations prioritize reducing costs, managing risks, and creating business value. Category management helps achieve these goals by optimizing category spend, identifying cost-saving opportunities, and improving operational efficiency. In the face of emerging agentic AI use…
  • Viewpoint
    Sep. 26, 2025

    MedTech organizations are under increasing pressure to reimagine stakeholder engagement in response to increasing demand for personalized, connected experiences across the entire device life cycle. Functional silos, disparate technologies, and a lack of cross-functional alignment constrain…
  • Viewpoint
    June 25, 2025

    Life sciences enterprises operate in an increasingly complex engagement landscape due to rising content fatigue, expanding Healthcare Professional (HCP)/patient touchpoints, and growing stakeholder expectations for relevance. Traditional engagement strategies, characterized by fragmented data, siloed operational workflows,…
  • Briefings
    May 14, 2025

    Everest Group hosted its exclusive launch event for its new Advanced SciTech Service. This program is designed to help you navigate the complex landscape of emerging science and technology, enabling you to integrate cutting-edge innovations effectively…
  • April 25, 2025

    Technology View the full report
  • April 25, 2025

    Data View the full report
  • Viewpoint
    Jan. 10, 2025

    Enterprise AI platforms are at the forefront of digital transformation, enabling businesses to innovate, compete, and operate efficiently. These platforms empower organizations to streamline processes, enhance decision-making, and accelerate their AI adoption journeys by unifying data…
  • Tech Launch Perspective
    Dec. 09, 2024

    The Data and Analytics (D&A) and AI market continues to grow rapidly, fueled by expanding enterprise data and AI-ML advances. Organizations are turning toward D&A and AI solutions to drive digital transformation, enhance decision-making, and scale…
  • Conference
    Dec. 03, 2024

    Everest Group hosted its exclusive launch event for its new Advanced SciTech Service. This program is designed to help you navigate the complex landscape of emerging science and technology, enabling you to integrate cutting-edge innovations effectively…

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