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  • Tech Launch Perspective
    July 17, 2026

    The Data and Analytics (D&A) market continues to evolve as enterprises modernize fragmented data estates, strengthen governance, and prepare platforms for AI and agentic workloads. Organizations are prioritizing governed, interoperable, real-time, and context-rich data foundations that…
  • Provider Compendium
    June 26, 2026

    Healthcare payers are operating in an increasingly complex environment shaped by volatile medical costs, constrained premium growth, evolving regulatory requirements, fragmented legacy systems, and continued workforce constraints. These pressures are pushing health plans to move beyond…
  • Viewpoint
    June 16, 2026

    Healthcare payer operations are reaching a key inflection point as demographic shifts, chronic disease growth, regulatory requirements, margin pressures, workforce shortages, and rising member expectations expose the limitations of fragmented operating models. Simultaneously, internal constraints such…
  • Tech Provider Spotlight
    June 12, 2026

    Healthcare payer risk and quality management is shifting from fragmented, retrospective, and manual workflows to integrated, evidence-led operating models. Payers are under pressure to improve risk capture, strengthen Healthcare Effectiveness Data and Information Set (HEDIS) and…
  • Viewpoint
    June 02, 2026

    Healthcare payers are under pressure to modernize operations as margin compression, high medical loss ratios, regulatory mandates, cybersecurity exposure, and rising member expectations expose the limits of legacy operating models. Traditional Business-Process-as-a-Service (BPaaS) models have helped…
  • LinkedIn Live
    May 28, 2026

    What is the “context layer” for organizational AI, and what did it look like in the race to unlock enterprise value? Although autonomous AI systems were being deployed with greater frequency, organizations continued to face persistent…
  • Blog
    May 12, 2026

    As enterprises race to build their universes of sophisticated generative AI (gen AI) models and agentic solutions, the first instinct was predictable: strengthen the data foundation. The first wave of readiness was all about modernization – platforms, pipelines, vector databases – making sure Artificial Intelligence (AI) systems had enough structured fuel…
  • Blog
    May 05, 2026

    For decades, enterprise software has centered on systems of record, platforms designed to manage critical business data, ensure accuracy, and maintain compliance. These systems have formed the backbone of enterprise operations, enabling reliability and control across…
  • Blog
    April 28, 2026

    The marketplace is changing. Two marquee moves in July reset expectations for how large service providers will deliver operations at scale: Capgemini agreed to acquire WNS to build an agentic‑Artificial Intelligence (AI) powered intelligent operations leader,…
  • Roundtable
    April 16, 2026

    Following our GBS Operating Model FutureCast workshop, Everest Group is convening a select group of GBS leaders for an interactive working session on Thursday, May 07, to pressure test emerging perspectives on reimagining the operating model in the age of agentic AI.  …
  • Roundtable
    March 31, 2026

    Following our GBS Operating Model FutureCast workshop, Everest Group is convening a select group of GBS leaders for an interactive working session on Tuesday, April 14, to pressure test emerging perspectives on reimagining the operating model in the age of agentic AI.  …
  • 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…
  • LinkedIn Live
    Feb. 24, 2026

    Payer operations were reaching a structural inflection point. As cost pressure, regulatory scrutiny, and AI-enabled operating models reshaped the landscape, payer leaders had to rethink how sourcing and operating design delivered measurable business outcomes. In this…
  • PEAK Matrix®
    Feb. 19, 2026

    Healthcare payers are navigating volatile medical costs, limited premium growth, and fragmented legacy systems. At the same time, regulatory and quality requirements are intensifying, with the Centers for Medicare and Medicaid Services (CMS) advancing interoperability and…
  • 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,…
  • Blog
    Dec. 11, 2025

    IBM’s acquisition of Confluent signals a pivotal move toward a unified end-to-end data stack that can enable AI at scale. Reach out to discuss this topic in depth. IBM’s Next Chapter: Unifying Data, Cloud, and AI On…
  • Blog
    Dec. 01, 2025

    Snowflake’s announcement that it will acquire Select Star, a San Francisco–based metadata platform, is a statement about what matters next in enterprise data. After years of powering data at scale, Snowflake is now moving toward what…
  • Blog
    Nov. 18, 2025

    The next chapter of payer operations   The US healthcare landscape is grappling with rising costs, regulatory pressure, and eroding trust. Major payers such as UnitedHealth Group, Elevance, Humana, and CVS Health are reporting medical loss ratios (MLRs) near 88-90%, squeezing margins…
  • 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…

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