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Showing 175 results
  • 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…
  • 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,…
  • Tech Launch Perspective
    June 23, 2026

    The Data and Analytics (D&A) market continues to evolve as enterprises modernize fragmented data estates, improve governance, and prepare data platforms for AI and agentic workloads. Organizations are prioritizing governed, interoperable, real-time, and context-rich data foundations…
  • 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.…
  • 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…
  • Voice of the Customer
    May 22, 2026

    Enterprises are redefining their Master Data Management (MDM) strategies as data reliability, governance, and AI readiness become central to enterprise transformation. As organizations modernize their data architecture and scale AI, generative AI, analytics, and automation initiatives,…
  • Tech Launch Perspective
    May 18, 2026

    The Data and Analytics (D&A) market continues to evolve rapidly as enterprises modernize fragmented data estates, improve governance, and prepare their data foundations for AI and agentic workloads. Organizations are prioritizing unified, interoperable, and real-time data…
  • PEAK Matrix®
    May 11, 2026

    Modern data environments are becoming increasingly complex, distributed, and dynamic, making it difficult for enterprises to maintain consistent governance, visibility, and control across data assets. Despite growing investment in enterprise data initiatives, many organizations still struggle…
  • Tech Provider Spotlight
    March 19, 2026

    Life sciences commercial engagement is undergoing a fundamental transformation as enterprises move from siloed, channel-centric models to coordinated, customer-centric omnichannel strategies. Increasing Healthcare Professionals (HCP) access constraints, evolving customer expectations, proliferation of digital channels, and mounting…
  • 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…
  • Tech Launch Perspective
    Feb. 26, 2026

    Life sciences enterprises are under pressure to accelerate research, improve evidence generation, and operationalize AI across clinical and commercial functions. Fragmented data estates, evolving regulatory requirements, and the growing importance of real-world and genomic data are…
  • Feb. 04, 2026

    As the Veeva ecosystem continues to expand rapidly - now representing a market of nearly $2 billion- life sciences organizations are rethinking how they approach Veeva-enabled transformation. What was once focused primarily on implementation is evolving…
  • Video
    Feb. 03, 2026

    As Veeva becomes the cornerstone of strategic transformation in life sciences, expectations from service providers are rapidly evolving. In this Q&A session, Chunky Satija, Vice President, and Rohit K, Practice Director, from Everest Group, discuss the…
  • Viewpoint
    Jan. 09, 2026

    As pharma enterprises modernize data architectures, automate workflows, and scale AI across the value chain, scientific expertise is becoming essential to realize meaningful outcomes from digital initiatives. Without scientific grounding, digital systems risk producing insights that…
  • Voice of the Customer
    Dec. 18, 2025

    AI- and automation-enabled workflows, advanced data and analytics capabilities, and increasingly interoperable technology stacks are rapidly and meaningfully transforming the pharma platforms landscape. Together, these shifts are enabling greater efficiency, scalability, and agility across the biopharma…
  • Voice of the Partner
    Dec. 15, 2025

    Global technology ecosystems are rapidly transforming as enterprises increasingly rely on channel partners to deliver integrated, outcome-driven solutions. As technology stacks expand and customer expectations rise, technology providers are reshaping their partner engagement models to drive…
  • 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…

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