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  • Tech Launch Perspective
    July 17, 2026

    The Data and Analytics (D&A) market continues to evolve as enterprises modernize fragmented data estates, strengthen governance, and prepare platforms for AI and agentic workloads. Organizations are prioritizing governed, interoperable, real-time, and context-rich data foundations that…
  • 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…
  • LinkedIn Live
    May 28, 2026

    What is the “context layer” for organizational AI, and what did it look like in the race to unlock enterprise value? Although autonomous AI systems were being deployed with greater frequency, organizations continued to face persistent…
  • Blog
    May 12, 2026

    As enterprises race to build their universes of sophisticated generative AI (gen AI) models and agentic solutions, the first instinct was predictable: strengthen the data foundation. The first wave of readiness was all about modernization – platforms, pipelines, vector databases – making sure Artificial Intelligence (AI) systems had enough structured fuel…
  • Blog
    May 05, 2026

    For decades, enterprise software has centered on systems of record, platforms designed to manage critical business data, ensure accuracy, and maintain compliance. These systems have formed the backbone of enterprise operations, enabling reliability and control across…
  • Innovation Watch
    March 03, 2026

    As enterprises accelerate AI adoption, managing and retrieving high-dimensional data has become an essential capability. Organizations are increasingly complementing and augmenting traditional databases with vector data platforms purpose-built to store and query embeddings generated through AI…
  • Market Insights™
    Feb. 09, 2026

  • Viewpoint
    Jan. 16, 2026

    Rapid generative AI acceleration has exposed foundational weaknesses in the modern data stack. Architectures that were originally designed for analytics and reporting are now being pushed to support real-time, large-scale AI workloads that demand trusted, governed,…
  • 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. 11, 2025

    IBM’s acquisition of Confluent signals a pivotal move toward a unified end-to-end data stack that can enable AI at scale. Reach out to discuss this topic in depth. IBM’s Next Chapter: Unifying Data, Cloud, and AI On…
  • Blog
    Dec. 01, 2025

    Snowflake’s announcement that it will acquire Select Star, a San Francisco–based metadata platform, is a statement about what matters next in enterprise data. After years of powering data at scale, Snowflake is now moving toward what…
  • 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 redefining their Data and Analytics (D&A) strategies to build a strong data foundation for AI that is tailored to their unique business context. This shift reflects a move from broad transformation programs to focused…
  • 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®
    Nov. 06, 2025

    Enterprises accelerating their adoption of AI and data-driven technologies now face an intensified need for specialized, AI-ready talent to sustain large-scale transformation. Organizations require deep expertise in machine learning, generative AI, Natural Language Processing (NLP), reinforcement…
  • Blog
    Nov. 05, 2025

    dbt and Fivetran have announced their intent to merge. On October 13, 2025, the two companies announced an all-stock merger, positioned to bring data ingestion and transformation closer together.   That’s the headline. This is also giving another signal, that the modern data stack is converging. After years of…
  • 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…
  • Viewpoint
    Oct. 24, 2025

    AI is rapidly redefining the rules of enterprise data management. Traditionally viewed as a manual and resource-intensive function, data management often struggled to keep pace with evolving business demands, the surge of unstructured data, and the…
  • Tech Launch Perspective
    Aug. 12, 2025

    At Informatica World 2025, Informatica highlighted its increasing focus on AI-native orchestration through the introduction of AI Agent Engineering. This no-code, metadata-aware service enables enterprises to build, scale, and govern complex multi-agent workflows across their data…

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