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  • NEW
    Blog
    Aug. 03, 2026

    In Part 1 of this series, Why the Migration Clock Has Already Started, we explained why Banking, Financial Services and Insurance (BFSI) enterprises cannot wait for a formal mandate to begin their Post-quantum Cryptography (PQC) migration and estimated a roughly US$7 billion spending opportunity across the top…
  • Blog
    July 27, 2026

    Why R&D execution is becoming a human discipline again  For a moment, let’s take a mini break from Artificial Intelligence (AI). I know how that sounds given how obvious it is as a focus area, but almost every Research & Development (R&D) leader I speak with is still facing a human…
  • Blog
    July 21, 2026

    Current state of cryptography in BFSI  Banks, insurers, and capital markets enterprises have been using cryptography for a long time across every important part of their business. It protects everything from mobile payments to complex trading platforms and third-party connections.  …
  • Blog
    July 08, 2026

    Artificial Intelligence (AI) is having its moment. After years of cautious skepticism, pilot-stage overhang, and boardroom debates, the conversation has moved beyond experimentation. Enterprises are no longer asking whether to deploy agents, they are now asking how fast they can scale them across their entire workflow estate. However, speed comes at a price and almost nobody is doing the math.   The warning signs…
  • 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…
  • Blog
    June 15, 2026

    Every year, a similar ritual plays out in organizations around the world. Research and Development (R&D) leaders spend weeks preparing business cases, defending last year's programs, and negotiating incremental budget increases, almost as a routine.   Finance approves a number, eventually, projects continue to roll on,…
  • 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…
  • Webinar
    May 14, 2026

    R&D is where growth bets are won or quietly abandoned in the current era of technological acceleration. What was once a function-led cost center is now becoming a technology enabled, portfolio-driven engine of value. R&D has…
  • Pulse
    April 29, 2026

    Pulses deliver forward-looking insights into the evolution and impact of science, technology, and trends on global transformation. By engaging with our Pulses, you will gain a deeper understanding of each topic's significance, the key innovators driving…
  • 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,…
  • Blog
    April 27, 2026

    I recently spoke at an Everest Group event in Tokyo about the forces likely to shape high-performing Japanese enterprises in 2026 and beyond. What stood out to me in that discussion was not a lack of awareness –…
  • 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.  …
  • Blog
    April 08, 2026

    One of the more notable shifts at RSAC 2026, held in San Francisco, March 24 – 26, was not that quantum dominated the agenda, it didn’t, but the conversation around it felt materially more serious.  Quantum was no longer framed as a distant, theoretical disruption. Instead,…
  • Blog
    April 07, 2026

    RSA Conference (RSAC) 2026 made one thing clear: Cybersecurity is no longer evolving in a steady, predictable manner. It is being reshaped in bursts, driven by Artificial Intelligence (AI), shifting identity paradigms, and the growing urgency of resilience.   What stood out this year was not just…
  • 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.  …
  • Webinar
    Feb. 24, 2026

    Agentic AI systems are moving beyond assistive copilots toward more autonomous execution within R&D workflows. Yet as interest builds across innovation-intensive industries, many R&D leaders still lack clarity on what these systems can reliably deliver today…
  • 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…
  • Webinar
    Feb. 20, 2026

    AI advances and synthetic data generation are moving experimentation beyond traditional physical and observational models, introducing new ways to generate hypotheses and validate outcomes at scale. At the same time, R&D organizations are under mounting pressure…

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