Skip to main content
Domino's logo

Who is Domino?

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

Watch Demo

  • Platform

      • AI infrastructure
      • Data management
      • AI workbench
      • MLOps
      • AI governance
      • FinOps
      • Pricing
      • Security & compliance
      • What's new

  • Solutions

    • Industries

      • Life sciences
      • Finance
      • Public sector
      • Retail
      • Manufacturing

    • Use Cases

      • Generative AI
      • Cost-effective data science
      • Self-service data science
      • Model risk management
      • Cloud data science

  • Learn

      • Events
      • Blog
      • Podcast
      • Courses and certifications
      • Data Science Dictionary
      • Documentation
      • Support
      • Demo hub

  • Company

      • About
      • Why Domino
      • Careers
      • Sustainability
      • News and press
      • Partners
      • Customers
      • Contact us

© 2026 Domino Data Lab, Inc. Made in San Francisco.

  • Do not sell my personal information
  • Privacy policy
  • Terms and conditions
  • Security
  • Legal
Home
Watch Demo
Watch Demo

Harnessing the power of AI within regulated industries

Tabitha Sleap, Management Consultant, BIP and Gabriele Oliva, Head of Data Analytics and AI, BIP

RevX London, June 13, 2024

Return to RevX videos

Abstract

How do you implement cutting edge innovation in heavily regulated industries? In this session with Tabitha Sleap, Management Consultant at BIP, we explore the dual challenge of driving innovation while adhering to stringent governance standards in highly regulated industries such as life sciences and financial services.

Join us as we discuss the challenges of traditional scientific platforms, tech debt, research silos, and regulatory inertia, and assess what it takes to implement the latest GenAI-driven applications in these environments. In this session, we will also get a sneak peek at one such AI application – a RAG-based site investigation assistant to accelerate the drug development process.