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  • 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,…
  • 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…
  • 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…
  • 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…
  • Viewpoint
    Feb. 12, 2025

    Modern Data Stack (MDS) components are the foundational building blocks of any data ecosystem. Over the years, these components have transformed significantly to meet growing enterprise demands due to the increasing recognition of data as a…