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Showing 42 results
  • 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…
  • Viewpoint
    May 14, 2026

    Enterprises are accelerating multiple, overlapping transformation initiatives across customer experiences, operating model redesign, platform modernization, and data/AI. Value realization, however, remains inconsistent because many organizations still define value too narrowly, interpret it differently across functions, and…
  • 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,…
  • Blog
    Dec. 30, 2025

    Coforge has announced definitive agreements to acquire Encora from Advent International, Warburg Pincus, and other minority shareholders for an enterprise value of US$2.35 billion. Coforge will fund the US$1.89 billion equity value through a preferential allotment, under which Encora’s shareholders will hold ~20% stake in the…
  • 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…
  • 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
    Aug. 13, 2025

    Snowflake is rapidly evolving into a unified platform that integrates analytics, AI, governance, and performance capabilities. Its latest product enhancements aim to streamline AI adoption, enhance data accessibility, and align with enterprise priorities around productivity, automation,…
  • Viewpoint
    June 30, 2025

    Enterprises are shifting from traditional project-based models to product-aligned operating models that enable speed, agility, and better alignment with customer value. This shift demands more than structural adjustments; it requires a fundamental redesign of how organizations…
  • June 11, 2025

    The emergence of the RAAI Officer  As artificial intelligence (AI) becomes a critical force in modern business, the need for ethics, transparency, and accountability in AI systems has never been greater. Organizations are now recognizing AI…
  • Viewpoint
    May 30, 2025

    Enterprises are significantly investing in data and AI, yet many are struggling to achieve meaningful returns. The underlying issue in most cases is a weak or fragmented data foundation. Addressing this challenge requires first understanding what…
  • Blog
    April 01, 2025

    In our previous exploration of Product-Led Operating Models (PLOMs), we uncovered how the 4R framework transforms organizational structures, drives collaboration across once-siloed teams, and sparks a seismic shift in how businesses manage and deliver products. We…
  • Viewpoint
    Feb. 17, 2025

    As enterprises integrate AI into their business processes, ensuring AI systems’ quality and reliability is a significant challenge. Quality Engineering (QE) is the cornerstone across the entire AI adoption lifecycle, from assessing AI readiness to ensuring…
  • Feb. 12, 2025

    This is the third blog in our series exploring the Product-Led Operating Model (PLOM). Our previous articles examined why enterprises should embrace PLOM as a competitive necessity and outlined four key strategies for successful transformation. Now,…
  • Viewpoint
    Jan. 31, 2025

    In the AI and generative AI era, data has evolved from a byproduct of business processes to a strategic asset driving innovation and decision-making. Despite its importance, enterprises face significant challenges in effectively managing and utilizing…
  • Provider Compendium
    Jan. 28, 2025

    Organizations are grappling with ensuring AI systems’ quality and reliability while keeping pace with rapid technology advances and evolving regulatory requirements. As AI adoption grows, enterprises need Quality Engineering (QE) partners that can validate AI models,…
  • Blog
    Dec. 17, 2024

    Welcome to the second blog in our series on transitioning to the Product-Led Operating Model (PLOM). In the first installment, we discussed the strategic imperative for organizations to adopt PLOM, and why traditional operating models may…
  • Viewpoint
    Nov. 27, 2024

    Rapid generative AI adoption across enterprise functions presents diverse opportunities and significant challenges. Organizations recognize clear pathways to enhanced productivity and new revenue streams, yet most deployments remain cautious and limited, yielding minimal rewards. Despite widespread…
  • PEAK Matrix®
    Oct. 30, 2024

    Organizations are grappling with ensuring quality and reliability in their AI applications and systems while keeping pace with rapid technology advances and evolving regulatory requirements. As AI adoption increases, enterprises need Quality Engineering (QE) service partners…

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