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  • 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…
  • FEATURED
    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
    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…
  • 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…
  • Blog
    March 19, 2024

    With their exceptional computing prowess, quantum computers have the potential to revolutionize various sectors by expediting complex problem-solving. In this first blog of our two-part series, we delve into quantum computer types, opportunities for businesses and…
  • Thematic Report
    Dec. 20, 2021

    Ever-growing information volumes and analyses have started posing significant challenges to preserving data privacy and security. Existing methods of data protection cover only data at rest or in transit. Data in the computation or processing phases…