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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…
  • Provider Compendium
    Dec. 30, 2025

    Enterprises are experiencing rising data complexities as they scale cloud adoption, modernize data estates, and operationalize AI. In this landscape, undetected data issues, ranging from quality degradation and schema drift to pipeline failures and governance lapses,…
  • PEAK Matrix®
    July 24, 2025

    European enterprises are advancing their data and AI agendas amid increasing demands for digital transformation, regulatory compliance, and localized innovation. This evolution is due to the General Data Protection Regulation (GDPR), the European Union Artificial Intelligence…
  • PEAK Matrix®
    May 14, 2025

    Enterprises across North America are advancing their data and AI strategies while grappling with infrastructure, governance, and talent-related challenges. As generative AI adoption gains momentum, organizations focus on scalable, business-aligned solutions that deliver measurable impact. To…
  • Tech Launch Perspective
    Dec. 30, 2025

    Cisco’s edge computing infrastructure strategy for AI reflects growing enterprise demand for scalable, secure, and real-time AI deployment at the edge. This report analyzes Cisco’s announcements at the Cisco Partner Summit 2025, emphasizing the company’s Unified…
  • 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…
  • Tech Launch Perspective
    Aug. 13, 2025

    Snowflake is rapidly evolving into a unified platform that integrates analytics, AI, governance, and performance capabilities. Its latest product enhancements aim to streamline AI adoption, enhance data accessibility, and align with enterprise priorities around productivity, automation,…
  • Provider Compendium
    Feb. 20, 2025

    Enterprises are increasingly recognizing their data ecosystem gaps as they strive to fully harness generative AI’s potential. Consequently, they are prioritizing AI-ready data ecosystems, emphasizing robust data management and governance. When scaling their AI initiatives, they…
  • Provider Compendium
    Nov. 13, 2025

    The public cloud market is expanding as enterprises drive transformation and resilience through digital modernization. AWS continues to strengthen its leadership by investing in generative AI, data analytics, industry cloud platforms, and security, fueling adoption and…
  • PEAK Matrix®
    Dec. 06, 2024

    Enterprises are increasingly recognizing gaps in their data ecosystems as they strive to fully harness gen AI’s potential. Businesses are prioritizing AI-ready data ecosystems, emphasizing robust data management and governance. When scaling their AI initiatives, they…
  • Provider Compendium
    July 29, 2025

    Over the past few years, the public cloud market has experienced significant growth due to the enterprise demand for business transformation, innovation, and resilience. Amazon Web Services (AWS) has accelerated its global adoption by investing in…
  • Provider Compendium
    April 14, 2025

    Enterprises are increasingly identifying gaps in their data ecosystems as they seek to harness generative AI’s full potential. To address these gaps, businesses are prioritizing their data strategy to build AI-ready data ecosystems. AI advances have…
  • 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…
  • 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…
  • Provider Compendium
    July 07, 2025

    The public cloud market is significantly growing due to enterprises’ pursuit of digital transformation, innovation, and operational resilience. Microsoft Azure has effectively addressed this demand through strategic investments in generative AI (in collaboration with OpenAI), industry-tailored…
  • Provider Compendium
    July 29, 2025

    Enterprises are modernizing their technology foundations to stay agile, data-driven, and competitive. This shift is driving the demand for scalable, intelligent cloud platforms. Google Cloud has become a key enabler in this journey, offering advanced analytics,…
  • PEAK Matrix®
    April 29, 2024

    The rising adoption of AI and ML has revolutionized how enterprises use data, elevating its importance to unprecedented levels. Today, data is integrated into every facet of operations to facilitate decision-making and drive innovation, resulting in…
  • Provider Compendium
    Nov. 30, 2023

    Enterprises currently face the challenge of harmonizing value realization and experimentation in their Data and Analytics (D&A) investments amid prevailing macroeconomic conditions. They are striving to attain RoI and tangible business outcomes from their D&A initiatives.…
  • State of the Market
    Oct. 05, 2023

    Enterprises are struggling to strike the right balance between value realization and experimentation through their D&A investments. While Return on Investments (RoI) and direct business outcomes from D&A initiatives are becoming key priorities for enterprises, emerging…
  • 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…

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