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  • Viewpoint
    July 15, 2025

    AI is moving from isolated pilots to enterprise-wide initiatives, but infrastructure strategies often lag. Many organizations face compute constraints, fragmented tooling, and unclear deployment or sourcing approaches. As AI workloads grow in scale and complexity, the…
  • Thematic Report
    Sep. 02, 2025

    The global AI chip market is expanding rapidly. As AI workloads become more complex and large scale, enterprises are demanding higher performance, lower latency, and integration capabilities that go beyond traditional compute approaches. Chip-level decisions are…
  • 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,…
  • Provider Compendium
    Dec. 15, 2025

    Enterprises are facing unprecedented pressure to produce accurate, consistent, and audit-ready emissions data as the climate reporting landscape becomes more complex and stakeholder expectations rise. Carbon accounting platforms have quickly become core digital infrastructure, helping organizations…
  • PEAK Matrix®
    June 28, 2024

    The healthcare industry is significantly investing in cloud services to implement use cases in health data analytics, value-based care, population health, and interoperability. As enterprises grow, they leverage industry cloud to future-proof technology infrastructure and enhance…
  • PEAK Matrix®
    Aug. 09, 2024

    Enterprises today struggle to define, measure, realize, and refine value from their cloud investments, leading to increased dissatisfaction among cloud-consuming businesses. The gap between cloud promises and the reality highlights fragmented cloud cost management and misaligned…
  • Provider Compendium
    Jan. 18, 2024

    The scarcity of talent equipped with next-generation skills remains a major roadblock in digital transformation journeys for enterprises. This challenge is exacerbated by the diminishing half-lives of skills and an increasing attrition rate in emerging skills…
  • PEAK Matrix®
    Feb. 20, 2024

    The public cloud market is experiencing a notable shift, driven by increasing enterprise maturity in cloud adoption and a sustained demand for hyperscaler services. This transformation is marked by a surge in innovative solutions focused on…
  • Provider Compendium
    April 25, 2024

    The public cloud market is transforming, driven by increasing enterprise maturity in cloud adoption and sustained demand for hyperscaler services. This transformation is marked by a surge in innovative solutions focusing on AI, advanced data analytics,…
  • PEAK Matrix®
    Nov. 28, 2023

    Amid the rapidly evolving technology landscape, as enterprises advance in their digital transformation endeavors, they face a primary challenge the shortage of talent equipped with next-generation skills. This challenge is further exacerbated by the shortening half-lives…
  • Provider Compendium
    Oct. 17, 2025

    Cloud adoption remains a central transformational pillar for mid-market enterprises, which have shown notable resilience amid economic uncertainty. Unlike their larger counterparts, these firms are focused on rapid value realization, agility, scalability, and more personalized engagement…
  • Thematic Report
    Nov. 28, 2025

    BFSI enterprises are evolving their cloud strategies to align more closely with business objectives. As cloud adoption matures, the focus is shifting from infrastructure-led migrations to unlocking value across five core transformation pillars: product and customer…
  • PEAK Matrix®
    Sep. 01, 2025

    eCOA solutions are transforming clinical trials by enabling accurate, real-time capture of patient, clinician, and caregiver-reported outcomes through smartphones, tablets, web portals, and provisioned devices. These platforms are redefining how clinical trials capture participant-reported data by…
  • Provider Compendium
    Dec. 17, 2025

    Life sciences organizations are increasingly prioritizing automation, configurability, and real-time visibility to support modern clinical trial requirements. As adaptive designs, decentralized models, and global multi-protocol studies become more prevalent, the role of Randomization and Trial Supply…
  • Thematic Report
    July 21, 2023

    In the face of growing macroeconomic tension and a cautious approach to IT spend, the banking industry continues to embrace cloud as a key enabler for growth and resilience amid fierce competition. The increasing emphasis on…
  • Viewpoint
    April 15, 2024

    Volatile macroeconomic conditions, intensifying competitive pressures, post-pandemic changes, and ever-evolving customer expectations have prompted enterprises to focus on efficiency, stakeholder experience, and growth. Enterprises are increasingly recognizing the need to reinvent and modernize themselves across the…
  • Provider Compendium
    Nov. 25, 2025

    Life sciences enterprises are accelerating their shift to modern digital platforms to meet evolving demands for agility, patient-centricity, and regulatory compliance. Traditional ERP and CRM systems are giving way to cloud-based platforms that enable intelligent, connected…
  • 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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