Cognizant Life Sciences

In MedTech manufacturing, discovering a quality issue at final inspection may already be too late. AI is shifting the production floor from detecting and fixing to predicting to preventing and continuously optimizing. Already, 28% of Medical Technology(MedTech) manufacturers use AI in manufacturing, and another 47% plan to deploy it within the next two years. By identifying calibration drift and equipment issues before they affect output to embedding quality throughout production, intelligent manufacturing can help organizations strengthen compliance and improve performance. Discover how AI is transforming manufacturing and quality in MedTech: https://lnkd.in/dgp8fSYD Kumar Ramananda | Anurag Shukla #CognizantLifeSciences #AIBuilder #MedTech #AgenticAI

The Tri-Party Life Sciences Event – The Multiplier Effect was on full display this week as life sciences leaders gathered at NVIDIA headquarters for a first-of-its-kind collaboration between Cognizant, NVIDIA and ServiceNow . A full room. Honest conversations. Actionable insights. What made the day especially valuable was not just the technology, but the caliber of discussion. Leaders from pharmaceutical, biotech and medical device companies shared how their organizations are moving beyond AI experimentation toward measurable business outcomes. Through industry perspectives, customer-led conversations, executive insights and live demonstrations, attendees explored how AI, intelligent orchestration, governance and autonomous operations are reshaping the life sciences value chain. One theme stood out: Innovation delivers its greatest impact when intelligence, action and orchestration come together. Equally important, the conversation will not end yet. The ideas shared by customers, partners and industry leaders sparked strong interest in follow-up discovery sessions and deeper conversations with individual organizations — where relationships are strengthened, ideas are refined and innovation moves from possibility to execution. Thank you to NVIDIA and ServiceNow for partnering and collaborating to create such a productive discussion. We look forward to building on this momentum and turning these insights into meaningful business outcomes across life sciences. Cognizant Partners Gaurav Sharma, Mohammad Haque, Kara Schwerdtfeger, Urvi Bhupendra Mehta, Pankaj Kumar, Paula Patel , Saru Tumuluri, NITIN RAIZADA , Marc Cuevas, Ravi Asrani, Charles Wuischpard, Nenshad Bardoliwalla, Varun Madhivada, Svetlana Hill #CognizantLifeSciences #AI #AgenticAI #PhysicalAI #AutonomousOperations #DigitalTransformation #Innovation #Cognizant #NVIDIA #ServiceNow #HealthcareInnovation

Is your Customer Relationship Management(CRM) strategy ready for what comes next in life sciences? For Small and Medium-sized Businesses(SMB), choosing the right CRM tool has become a commercial transformation decision. The right path, however, depends on how each platform fits your commercial model, regulatory requirements, technology ecosystem and AI ambitions. The platform should follow the strategy, not the other way around. Our latest white paper explores: • What recent market shifts mean for life sciences SMBs • How Veeva Vault CRM and Salesforce Life Sciences Cloud compare across key dimensions • Why data quality and integration are essential to AI readiness • How to evaluate each option against your commercial goals and organizational readiness The whitepaper offers practical, platform-agnostic guidance for specialty pharmaceutical, emerging biotech and medtech organizations planning their next phase of growth. Download the 'Lead SMB commercial transformation in life sciences with the right CRM': https://lnkd.in/d5qnq647 Poonam Shirke | Dirk Ilius | Arjun Jaggi #CognizantLifeSciences #LifeSciencesCRM #AgenticAI

Life sciences organizations generate vast amounts of data across the product lifecycle and the challenge is turning that data into meaningful outcomes at the commercialization stage. Agentic AI can enable a more connected approach, helping organizations streamline compliance, and improve commercial efficiency. Read the blog to know more: https://lnkd.in/dii42zhh #CognizantLifeSciences #AIBuilder

A connected medical device can generate usage and performance data long after it leaves the lab. Its Research and Development(R & D) process should be able to keep learning too. That is where AI could have its greatest impact. By combining simulation and real-world data, teams can uncover design risks sooner and make better-informed decisions throughout the product lifecycle. Emerging AI agents could extend this further by coordinating complex research activities and refining models and workflows as results arrive. The opportunity is a continuous learning loop connecting design, validation, manufacturing and post-market experience. What could your R&D teams achieve if real-world feedback shaped development continuously? Read the blog: https://lnkd.in/d6hjx4PP Dhananjay Vaidya | Kumar Ramananda #CognizantLifeSciences #AIBuilder #MedTech

What changes when cybersecurity becomes a performance enabler and not just a line of defense? For pharmaceutical companies, AI-powered cybersecurity can improve operational efficiency by strengthening collaboration and make better use of limited cybersecurity talent to reduce long-term costs. By combining real-time automation and human expertise, organizations can build a security function that is more efficient and equipped to support continued innovation. Explore the business and operational benefits of AI-powered cybersecurity in our latest eBook developed with Microsoft, 'AI-driven cybersecurity in life sciences' : https://lnkd.in/dk_8bGjA #CognizantLifeSciences #Cybersecurity #AIBuilder

Pharmaceutical validation is evolving. As organizations look to improve quality, reduce manual effort and accelerate delivery, traditional validation approaches can become a barrier to speed and scalability. How can CSA, AI and Gen AI help modernize validation while strengthening compliance and traceability? Explore Cognizant's innovation stack for pharmaceutical validation and quality assurance, and discover how organizations can drive validation at speed and scale. Download the report: https://lnkd.in/eGarJXev Vinod Antony | Kumaresan Lakkapuram Murugesan #CognizantLifeSciences #AIBuilder #Pharmavalidation

The biggest CRM challenge in pharma isn't technology. It's translating capabilities into meaningful business outcomes. From aligning teams and personalizing engagement to improving adoption and measuring success, pharmaceutical organizations face a range of obstacles on the path to value. Explore five challenges an AI-enabled CRM can help solve and how organizations can turn CRM investments into measurable impact. Read the blog: https://lnkd.in/dGfPN5t4 Dirk Ilius #CognizantLifeSciences #CRM #LifeSciences #AI

AI is changing life sciences Customer Relationship Management(CRM), but adding AI to an existing platform is not enough. Organizations need to rethink how CRM connects people, data and technology across the entire commercial ecosystem. That means building for interoperability, adapting quickly as AI capabilities evolve and focusing on the use cases that deliver meaningful business impact. In Episode 1 of 'Life Sciences Fusion', a Cognizant® Podcast series, where Bryan Hill, Vice President, Strategy & Transformation, AI Market Unit Head, Life Sciences, Cognizant, and Dirk Ilius, Director, Life Sciences, Cognizant, discuss: • Why CRM can no longer operate as a standalone platform • How to prepare commercial ecosystems for AI • Where organizations should begin • How to measure early impact beyond traditional Return on Investment(ROI) • Why change management must start with implementation 🎧 Listen to 'CRMs in the Age of AI' and learn how life sciences organizations can build a more agile, AI-ready commercial ecosystem: https://lnkd.in/d6y_QccF #CognizantLifeSciences #LifeScienceFusion #AIInLifeSciences

Stronger cybersecurity measures start long before an attack happens. For life sciences organizations, implementing AI-enabled cybersecurity demands the right foundations, strategy and organizational readiness. Our experts share five practical recommendations to help organizations navigate implementation challenges and maximize the value of AI while managing data quality, integration, compliance and evolving threats. Explore the recommendations in our latest eBook with Microsoft, 'AI-driven cybersecurity in life sciences': https://lnkd.in/dk_8bGjA #CognizantLifeSciences #Cybersecurity #AIBuilder