J&J creates new IoT architecture with TCS
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LIFE SCIENCES/ ARTICLE
J&J is designing new IoT platforms with TCS
Jun Chen, Head - Supply Chain Digital Product Management, Johnson & Johnson, discusses how the company has been making strides toward its mission of creating a healthier world with TCS fueling digital transformation.
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Industry
Life Sciences
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Patient-centered Care Models Taking Center Stage in Life Sciences
Read how patient-centric care models and pharma innovation are ushering new trends in life sciences to improve patient outcomes and enrich lives.
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Learn how unified data, patient-centred design, natural language processing, and agentic AI orchestration are redefining patient engagement and experiences.
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30 Jan 2026
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IoT and Digital Engineering
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Industrial Autonomy & Engineering: Building autonomous enterprises where intelligence is embedded directly into the value chain and operating models
Learn how TCS’ solutions powered by IoT, artificial intelligence, and digital engineering help build purpose-driven, resilient, and sustainable enterprises.
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Powered by AI/ML techniques, TCS’ solutions help enterprises manage supply chain disruptions & enhance fleet visibility for improved operations. Learn more.
Solution
27 May 2022
How TCS' IoT expertise enhanced J&J’s digital transformation journey
Johnson & Johnson (J&J), the world's largest pharmaceutical, medical devices, and consumer products healthcare company, endeavored to improve healthcare access and affordability, and create healthier communities.
Legacy systems and applications and vendor-dependencies were limiting J&J’s potential. They aimed to build a technology stack, improve the customer experience, and open new business opportunities, and chose TCS as their digital transformation partner.
With TCS' trust, innovation, and reliability, J&J aspired to keep customers’ health and well-being at the core of their vision. Using TCS' IoT expertise, J&J and TCS are designing new opensource IoT platforms that drive innovation and agility in the product development and supply chain processes, to deliver better quality products to patients and provide superior patient outcomes.
Combining the power of data, artificial intelligence (AI), and machine learning (ML), and moving from a vendor-specific solution to a self-serving solution, helped J&J reduce their release time from up to 35 days to two hours.
TCS’ deep contextual knowledge, digital strategy, and technology stack have enabled J&J to revolutionize their manufacturing process.
What Made it happen
TCS ADD™ is a suite of modern and open technology platforms for clinical research and drug development that helps make clinical trials more agile and safe.
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