R&D
Research and Development
Incorporating digital excellence to boost R&D
In life sciences, time-to-market is a vital parameter for all R&D functions. Though there are plenty of digital solutions available to meet this end, succeeding takes more than implementing them.
At NNIT, we can help you build a tech-empowered value chain, across your Clinical, Regulatory Affairs, and Drug Safety functions. Uniquely, you get leading specialists in all three domains, plus implementation and business processes specialists. We not only implement tech but incorporate digital excellence to boost your R&D.
Build a tech-empowered value chain
Getting the best out of digital solutions in life sciences takes more than implementing them. Internal processes, and capabilities must be closely aligned with the specific demands in every part of your value chain.
With NNIT, you get a proven transformation solution to not only implement tech but incorporate digital excellence. Uniquely, we offer an amalgam of leading specialists in implementation, business processes, and every key life sciences domain - to help you build a tech-empowered value chain.
Is AI Delivering for its Promise for Life Sciences?
In this podcast, hosted by Sam Laermans, Director & Global AI Lead at NNIT we dive into the ROI, innovation, and real-world impact of AI in the industry - plus the common pitfalls and typical barriers.
With insights from Hugo Cervantes, SVP, Veeva Clinical, and Paul Attridge, VP, Regulatory Strategy Europe at Veeva Systems we also explore real use cases, untapped opportunities, and how platforms like Veeva can help accelerate AI adoption.
Life Sciences, Digital Manufacturing, Quality, Regulatory Affairs
The Data Revolution in Pharma: How FHIR enables next level business outcomes for Quality, Manufacturing, and Regulatory
Life Sciences, AI, Data
From Hype to Reality: Architectural, Strategic, and Data Lessons for AI in Pharma
Life Sciences, Private, Public, AI
Agentic AI vs. AI Agents: Why This Distinction Matters Across Regulated Industries
Life Sciences, AI, Quality
AI in Quality: How Specialized Assistants can Transform Quality Processes
Life Sciences, Clinical, Data, Digital Manufacturing, Drug Safety, Regulatory Affairs, Smart supply-chain
How to build a universal translator for pharma data with FHIR
Life Sciences, Private, Public, AI
Agentic AI in Action for Regulated Industries
Life Sciences, AI, Clinical, Data, Drug Safety, Regulatory Affairs
Three priorities that will shape Life Sciences R&D through 2026
Life Sciences, Clinical
Empowering clinical trials digitally
Life Sciences, AI, Data, Veeva Solutions
Webinar: Stay Ahead of Veeva Releases - How AI can Streamline your Risk Impact Assessments