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  • 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…
  • 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…
  • 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…
  • Discovery
    July 31, 2025

    Discoveries focus on specific science and technology innovations that address today’s critical business issues and challenges. These brief yet detailed profiles highlight innovations across the world’s leading companies, start-ups, universities, institutes, and the entire R&D ecosystem…
  • PEAK Matrix®
    July 24, 2025

    Data teams face rising complexity, from hybrid and multi-cloud pipelines to growing AI workloads. Hidden data failures, cost overruns, compliance breaches, and bad downstream decisions are becoming untenable. As a result, data observability is no longer…
  • Technology Awareness Deep Dive
    Jan. 15, 2026

    This report examines the evolution of actuation and control technologies enabling full-body bipedal humanoid robots to transition from laboratory prototypes to deployable, human-capable systems. It focuses on the mechatronic intelligence layers that govern motion generation, stability,…
  • Viewpoint
    March 26, 2024

    This report underscores synthetic data’s vital role in addressing data challenges during AI initiatives. It highlights the significance of leveraging synthetic data to train and optimize AI models effectively. Additionally, it explores best practices for using…
  • 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…
  • Viewpoint
    June 19, 2023

    Driven by the exponential growth of data and the impact of the pandemic, enterprises have rapidly adopted Artificial Intelligence (AI) as a strategic tool to gain a competitive edge and enhance their business models. Recognizing its…
  • Thematic Report
    Nov. 30, 2022

    Today, enterprises and providers are struggling to acquire skilled talent for their Data, Analytics, and AI (DAAI) needs. The acute talent shortage has led to a huge demand-supply gap, causing significant changes to enterprises’ recruitment and…