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  • NEW
    Blog
    July 29, 2026

    R&D organizations already understand the value of continuous awareness  Most Research & Development (R&D) organizations would never make major product or technology decisions without first understanding what is happening around them. They continuously monitor emerging technologies, scientific discoveries, customer…
  • NEW
    Blog
    July 29, 2026

    The pharmaceutical technology market is moving beyond point solutions. For years, providers competed by solving specific problems within individual parts of the value chain. Today, differentiation increasingly depends on how well those solutions can understand context,…
  • Tech Launch Perspective
    July 22, 2026

    Life sciences enterprises are moving beyond isolated generative AI pilots toward governed, multi-agent workflows that support clinical, commercial, and real-world activities. This shift is increasing demand for platforms that combine regulatory-grade data governance, enterprise interoperability, scalable…
  • Blog
    July 21, 2026

    For decades, expertise in Research and Development (R&D) was relatively easy to define. Organizations built competitive advantage by hiring specialists with deep scientific knowledge. The deeper the expertise, the stronger the innovation engine. Pharmaceutical companies looked for world-class biologists. Semiconductor companies hired physicists. Chemical companies invested in…
  • Technology Awareness Deep Dive
    July 20, 2026

    This report provides Everest Group’s assessment of the emerging world model technology landscape, including its core subsegments, maturity trajectory, enterprise adoption potential, and competitive implications. It examines how world models are evolving into integrated systems stacks…
  • Annual R&D Trends and Priorities Survey
    July 16, 2026

    R&D organizations are entering a new phase of transformation as AI adoption accelerates, technology cycles compress, and increasing pressure to improve capital efficiency reshapes how innovation is funded and measured. While investment in R&D remains resilient,…
  • Provider Recognition
    July 15, 2026

    Pharmaceutical enterprises are accelerating technology investments to modernize operations across the pharmaceutical value chain spanning drug discovery, clinical development, manufacturing, sales and marketing, supply chain and distribution, and pharmacovigilance. As AI, cloud, and data-driven capabilities become…
  • Blog
    July 14, 2026

    Life Sciences commercial teams have a familiar problem: every few years, the industry finds a new way to create fragmentation.  First came Customer Relationship Management (CRM) add-ons. Then omnichannel tools, content platforms, analytics dashboards, field enablement systems, event platforms,…
  • 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…
  • R&D Strategic Technology Outlook
    June 25, 2026

    This report examines the emergence of Self-driving Labs (SDLs) as integrated experimental systems that combine automation, data infrastructure, orchestration platforms, and AI to autonomously design, execute, analyze, and iteratively refine experiments. It explores how SDLs are…
  • State of the Market
    June 22, 2026

    Life sciences enterprises are rethinking Customer Relationship Management (CRM) services as commercial transformation becomes more complex, platform-driven, and outcome-focused. As organizations migrate to cloud-based CRM environments, expand their Veeva and Salesforce ecosystems, and navigate increasingly complex…
  • Blog
    June 09, 2026

    For years, life sciences commercial technology providers sold nouns. Customer Relationship Management (CRM). Analytics. Content. Events. Patient engagement. Next-best-action. Learning. Field enablement.  Each category had its own buyer, its own implementation partner, its own operating model, and often its own dashboard.…
  • Blog
    May 26, 2026

    Research & Development (R&D) leaders are operating under an intensifying mix of pressures. R&D has become increasingly critical to long-term enterprise competitiveness; at the same time, leaders are being asked to move faster, integrate Artificial Intelligence (AI) and digital technologies into workflows, improve commercialization outcomes,…
  • Technology Awareness Deep Dive
    May 25, 2026

    This report examines the evolution of neoclouds as AI-first infrastructure platforms designed to support large-scale AI training, inference, and data-intensive workloads. It explores how growing AI demand is reshaping cloud infrastructure economics, pushing enterprises toward GPU-centric,…
  • Emerging Technologies
    May 20, 2026

    Building enterprise-grade cybersecurity now requires more than strengthening defenses. Organizations must create adaptive, resilient, and trust-centric security architectures that continuously evolve against increasingly intelligent threats. Cybersecurity’s next era will depend on advancing protection, governance, and operational…
  • 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…
  • Blog
    May 11, 2026

    Research & Development (R&D) organizations are being asked to make increasingly complex decisions. They are expected to develop new products, improve internal performance, adopt emerging technologies, and at the same time define where their industry is…
  • Blog
    May 11, 2026

    Last summer, I had the opportunity to speak about uncertainty becoming a constant feature of the RD+I operating environment. At the time, the point was not that disruption was increasing, but that many organizations were still…
  • Blog
    April 16, 2026

    Artificial Intelligence (AI) has shifted from a speculative capability to an executive mandate. Across industries, leadership teams are no longer asking whether AI will matter, they are asking why it is not yet delivering measurable impact. In Research & Development…
  • Blog
    April 01, 2026

    Functions across the enterprise are facing the same dual pressures right now: Artificial Intelligence (AI) is rapidly changing how work gets done, and geopolitical uncertainty is making the operating environment less stable. Research & Development and Innovation (R&D+I) is no exception.  Now that we’re a few months into 2026, we’re starting to see…

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