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  • 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…
  • 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…
  • 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
    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…
  • 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…