RevX 2025: Philadelphia

NLP Suite: A One-Stop Shop for Data-Driven Quality and Compliance

Deepak Bandyopadhyay Director, Data Science, R&D Quality, Johnson & Johnson

Johnson & Johnson’s R&D Quality team built a modular NLP Suite on Domino to unify legacy tools, streamline text analysis workflows, and scale NLP across departments. The platform enabled faster development, reduced manual effort, and supported compliance in a regulated environment.

Key Takeaways:

  1. Build a scalable, modular NLP platform. J&J used Domino to orchestrate a flexible NLP framework that integrates with Git-based tools for efficient, team-based development.
  2. Reduce manual work and reclaim developer time. The NLP Suite reduced manual effort by up to 90% and saved over 800 hours annually in support and maintenance.
  3. Accelerate adoption while staying compliant. The team successfully onboarded over 200 users and is preparing to move from proof of concept to full production under existing regulatory standards.

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