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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…
  • Video
    Feb. 10, 2026

    Everest Group’s PEAK Matrix® Assessment assesses RTSM providers through the lens of buyer impact and delivery capability. In this deep dive, Nisarg Shah, Practice Director, and Kayva Murki, Senior Analyst, analyze the RTSM provider market in…
  • Video
    Feb. 10, 2026

    The PEAK Matrix® Assessment provides a structured evaluation of RTSM providers’ strengths, scale, and differentiation in the market. Nisarg Shah, Practice Director, and Kayva Murki, Senior Analyst, explore the major growth drivers accelerating RTSM adoption. They…
  • Video
    Feb. 10, 2026

    Everest Group’s PEAK Matrix® Assessment evaluates RTSM providers based on market impact and vision & capability. In this video, Nisarg Shah, Practice Director, and Kayva Murki, Senior Analyst, unpack findings from the inaugural RTSM PEAK Matrix®…
  • 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. 17, 2025

    Life sciences organizations are increasingly prioritizing automation, configurability, and real-time visibility to support modern clinical trial requirements. As adaptive designs, decentralized models, and global multi-protocol studies become more prevalent, the role of Randomization and Trial Supply…
  • PEAK Matrix®
    Nov. 25, 2025

    With global and adaptive clinical trials’ rising complexities, life sciences organizations are increasingly adopting intelligent Randomization and Trial Supply Management (RTSM) platforms to enhance operational efficiency, ensure regulatory compliance, and safeguard patient integrity. RTSM systems have…
  • 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

    The global Business Process Outsourcing (BPO) industry is undergoing a seismic transformation due to the emergence of autonomous, LLM-powered AI agents that are rapidly changing how services are delivered. This report examines how BPO firms must…
  • 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. 04, 2025

    In an era of increasingly complex clinical trials, Risk-Based Quality Management (RBQM) has emerged as more than a regulatory mandate, it is a strategic imperative. Traditional monitoring methods, reliant on exhaustive on-site visits and 100% Source…
  • 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…
  • Provider Compendium
    Oct. 27, 2025

    The Loyalty Platform – Provider Compendium 2025 provides detailed and fact-based snapshots of 12 loyalty platform providers. Each profile offers a structured overview of the provider’s product and capability focus areas, including platform suite and deployment…
  • Provider Compendium
    Oct. 24, 2025

    The Property and Casualty (P&C) insurance industry is rapidly transforming, driven by volatile market conditions, cost pressures, and increasing operational complexities. As insurers strive for profitable growth and agility, they are reconfiguring core operations and sourcing…
  • Tech Provider Spotlight
    Oct. 14, 2025

    Clinical trial complexity continues to increase with hybrid study models, diverse data sources, and growing regulatory expectations, making traditional oversight models inadequate. Conventional monitoring approaches reliant on 100% source data verification and frequent on-site visits are…
  • Provider Compendium
    Sep. 16, 2025

    Pharmacovigilance (PV) operations have become a strategic priority for life sciences enterprises facing heightened regulatory scrutiny, evolving safety standards, and growing complexity across global markets. This report provides an in-depth assessment of 12 leading PV service…
  • Viewpoint
    July 29, 2025

    The telecom industry is at an inflection point, facing rising customer expectations, operational complexities, and intensifying competition. This Viewpoint explores the need for telecom enterprises to embrace comprehensive, AI-driven transformation of their CX strategy through an…
  • LinkedIn Live
    July 24, 2025

    Watch on LinkedIn Global Capability Centers (GCCs) in India rapidly evolved from cost-efficient service hubs to strategic centers of innovation, product development, and digital transformation for global enterprises. As this evolution accelerated, talent development became a…
  • Provider Compendium
    June 27, 2025

    CTMS platforms centralize and streamline every aspect of a clinical trial – planning, site coordination, patient tracking, budget oversight, document management, and regulatory compliance – into one unified, cloud-based system. The increasing trial complexity, the growing…
  • Viewpoint
    June 27, 2025

    Clinical trials are becoming more complex due to the adoption of decentralized models, increasing data volumes, and greater regulatory scrutiny. Conventional approaches centered on 100% Source Data Verification (SDV) and uniform on-site monitoring are inefficient, costly,…

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