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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…
  • Tech Launch Perspective
    June 23, 2026

    The Data and Analytics (D&A) market continues to evolve as enterprises modernize fragmented data estates, improve governance, and prepare data platforms for AI and agentic workloads. Organizations are prioritizing governed, interoperable, real-time, and context-rich data foundations…
  • 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…
  • Voice of the Customer
    May 22, 2026

    Enterprises are redefining their Master Data Management (MDM) strategies as data reliability, governance, and AI readiness become central to enterprise transformation. As organizations modernize their data architecture and scale AI, generative AI, analytics, and automation initiatives,…
  • Tech Launch Perspective
    May 18, 2026

    The Data and Analytics (D&A) market continues to evolve rapidly as enterprises modernize fragmented data estates, improve governance, and prepare their data foundations for AI and agentic workloads. Organizations are prioritizing unified, interoperable, and real-time data…
  • 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…
  • PEAK Matrix®
    May 11, 2026

    Modern data environments are becoming increasingly complex, distributed, and dynamic, making it difficult for enterprises to maintain consistent governance, visibility, and control across data assets. Despite growing investment in enterprise data initiatives, many organizations still struggle…
  • 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,…
  • 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. 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…
  • Blog
    Nov. 05, 2025

    Veeam Software’s USD 1.725 billion acquisition of Securiti AI signals a notable shift in Veeam’s strategy toward integrated data resilience and Artificial Intelligence (AI) governance. Once known primarily for backup and recovery, Veeam is now positioning itself as…
  • 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. 20, 2025

    Databricks is positioning itself as a comprehensive data intelligence platform that unifies data, AI, and governance to accelerate enterprise innovation. Its latest announcements emphasize deeper generative AI integration, advances in data engineering and governance, and enhancements…

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