• PEAK Matrix®
    Sep. 03, 2025

    In 2024, Finance and Accounting Outsourcing (FAO) providers continued to pursue quick wins and digital enablement, while enhancing their capabilities by investing in AI-driven solutions, expanding delivery footprints, GCC services, and tailored offerings for private equity…
  • PEAK Matrix®
    Feb. 19, 2026

    As enterprises accelerate Software as-a-Service (SaaS) adoption and embrace multi-cloud and distributed architectures, integration requirements are shifting from point-to-point connectivity to seamless, end-to-end workflow enablement across increasingly complex application landscapes. Buyers are also prioritizing low-code capabilities…
  • Provider Compendium
    March 19, 2026

    Enterprises are modernizing integration programs to reduce application sprawl, increase delivery autonomy across IT and business teams, and improve reliability across mission-critical workflows. Simultaneously, growing adoption of generative AI and task-oriented agents is increasing the need…
  • State of the Market
    Sep. 22, 2025

    Process mining software analyzes process-related information from event logs generated by ERP, CRM, and other enterprise systems to offer a fact-based approach to discover, monitor, and optimize as-is processes. It is a data-based approach to process…
  • Provider Compendium
    Aug. 01, 2025

    Process mining drives operational excellence and facilitates enterprises’ digital transformation initiatives. By analyzing event logs from enterprise systems such as ERP and CRM, it offers a fact-based approach to discover, monitor, and optimize as-is processes. The…
  • PEAK Matrix®
    July 16, 2025

    In recent years, life sciences enterprises have reprioritized and overhauled their R&D investments. They now focus on streamlining their pipelines and shifting toward new and large molecules. This transformation has compelled aggressive cost containment initiatives, prompting…
  • 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…
  • 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…
  • Provider Compendium
    Sep. 30, 2025

    In recent years, life sciences enterprises have reoriented their R&D investments, prioritizing pipeline efficiency and a strategic focus on large and novel molecules. This shift has intensified efforts around cost containment and created a stronger need…
  • PEAK Matrix®
    May 31, 2023

    Intelligent Document Processing (IDP) products play a vital role in enterprises’ automation technologies portfolios. IDP leverages Artificial Intelligence (AI) technologies such as Optical Character Recognition (OCR), computer vision, Natural Language Processing (NLP), and machine/deep learning to…
  • PEAK Matrix®
    Nov. 22, 2022

    Revenue Cycle Management (RCM) platforms facilitate the management of administrative and clinical functions, such as claims processing, payment, and revenue generation, for healthcare facilities. Healthcare organizations are increasingly evaluating RCM platform providers based on the IT…
  • Provider Compendium
    Dec. 20, 2022

    Revenue Cycle Management (RCM) platforms facilitate the management of administrative and clinical functions, such as claims processing, payment, and revenue generation, for healthcare facilities. Healthcare organizations are increasingly evaluating RCM platform providers based on the IT…
  • Provider Compendium
    July 06, 2023

    Intelligent Document Processing (IDP) products play a vital role in enterprises’ automation technologies portfolios. IDP leverages AI technologies such as Optical Character Recognition (OCR), computer vision, Natural Language Processing (NLP), and machine/deep learning to classify and…
  • PEAK Matrix®
    May 06, 2022

    Intelligent Document Processing (IDP) products are an essential component of an enterprise’s automation technologies portfolio. IDP leverages Artificial Intelligence (AI) technologies such as Optical Character Recognition (OCR), computer vision, Natural Language Processing (NLP), and machine/deep learning…
  • State of the Market
    Dec. 18, 2020

    The healthcare provider industry has been plagued with numerous issues – care providers have been operating on thin margins due to high claims denials, increasing bad debts, and the higher cost of operations, partially because of…
  • Provider Compendium
    June 07, 2021

    Everest Group defines Intelligent Document Processing (IDP) as a process that leverages a software product or solution to capture data from documents (e.g., emails, text, PDFs, and scanned documents), categorize it, and extract relevant data for…
  • Thematic Report
    Oct. 12, 2020

    Enterprises are embracing cloud services from diverse vendors to get best-in-class services, mitigate risks, and avoid vendor lock-in. This poses a challenge, as every cloud platform is based on its unique, customized architecture, which is not…
  • Provider Compendium
    May 01, 2020

    Everest Group defines Intelligent Document Processing (IDP) as a process that leverages a software product or solution to capture data from documents (e.g., emails, text, PDFs, and scanned documents), categorize it, and extract relevant data for…
  • PEAK Matrix®
    March 27, 2020

    Everest Group defines Intelligent Document Processing (IDP) as any software product or solution that captures data from documents (e.g., email, text, PDF, and scanned documents), categorizes, and extracts relevant data for further processing using AI technologies…
  • Everest Group defines Intelligent Document Processing (IDP) as any software product or solution that captures data from documents (e.g., email, text, pdf, and scanned documents), categorizes, and extracts relevant data for further processing using AI technologies…

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