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Showing 14 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…
  • 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…
  • 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…
  • 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…
  • Viewpoint
    Nov. 10, 2025

    As enterprises accelerate digital transformation and embrace next-generation technologies such as AI, generative AI, and cloud-native platforms, managing quality at scale has become increasingly complex. Traditional tool-centric quality approaches fall short in addressing fragmented processes, inconsistent…
  • Viewpoint
    Aug. 20, 2025

    AI’s rapid evolution is revolutionizing the life sciences sector. After significant generative AI-enabled advances, enterprises are now witnessing the rise of agentic AI – autonomous systems capable of independent decision-making and action execution. However, many life…
  • Blog
    Oct. 24, 2024

    Remember when we were all buzzing about the metaverse like it was going to redefine reality? Yeah, that was just two years ago!Fast forward to last year, and suddenly generative AI  (gen AI) has become the…
  • Thematic Report
    Sep. 15, 2022

    Life sciences enterprises are actively transforming their commercial operations to meet business demands. Industry-agnostic technologies in the commercial space lack the real-time or data integration capabilities specific to the life sciences domain (that analytics & AI…