Skip to main content

RevX on demand

Watch sessions from the premiere enterprise AI event series for data science and IT leaders

  • Keynotes
  • Financial Services
  • Life Sciences

Keynotes

Mike Upchurch VP of Strategy, Financial Services & Insurance, Domino

Turning Regulatory Constraints into Innovation Catalysts

Mike Upchurch VP of Strategy, Financial Services & Insurance, Domino

Watch now
Nick Elprin

The Modern AI Factory

Nick Elprin CEO, Domino

Watch now
Hoseb Dermanilian

Solving the AI Data Challenge

Hoseb Dermanilian Sr. Dir, Global Head of AI Sales & GTM NetApp

Watch now
Eileen Murray and Thomas Robinson

Realizing the AI Opportunity: From Operational Resilience to Innovation

Eileen Murray Board Member, HSBC & Broadridge | Former Chair, FINRA

Thomas Robinson COO, Domino

Watch now
Michael Allen and Thomas Robinson

Navigating AI Policy in the Trump Administration

Michael Allen Managing Director, Beacon Global Strategies LLC

Thomas Robinson COO, Domino

Watch now
Linda Avery and Heidi Lanford

Cracking the Code: How to Scale AI for Real Business Impact in the Enterprise

Linda Avery Former CDAO at Federal Reserve, Verizon | Co-founder, NavAlytix

Heidi Lanford Former CDO, Fitch Group, Inc. | Co-founder, NavAlytix

Watch now
Shahram Ebadollahi and Chris McSpiritt

The Next Chapter: How AI Will Reshape R&D in 2025 and Beyond

Shahram Ebadollahi Principal, Nav.AI - Former CDAO, Novartis

Chris McSpiritt VP of Life Sciences Strategy, Domino

Watch now
Ian Misner, Dave Johnson, and Tim Hoctor

Operationalizing AI in Drug Development: From Infrastructure to Impact

Ian Misner Head of Products, Oncology Data Science, AstraZeneca

Dave Johnson CEO & Co-Founder, Dash Bio

Tim Hoctor Advisor, Pistoia Alliance

Asha Mahesh, Sr. Director, R&D Data Science & Digital Health, Privacy & AI Ethics

Watch now

Journey on AI & Model Development Lifecycle enablement

Ilhami Gorgun, Andrew Chau, Jay Yang, UBS

Watch now

Act Now, Adapt Next: From EU AI Act Compliance to the Quantum Leap

Adam Gale, Business Cloud Architect for AI & Financial Industry, NetApp

Watch now

Rethinking AI's Impact and its Impact on Business and Humanity

Daniel Hulme, Chief AI Officer, WPP


Watch now

Financial Services

Cody Nolden

Breaking Barriers—How USAA is Redefining Data Access & Governance in Financial Services

Cody Nolden Principal AI Architect, USAA

Watch now
Richa Sachdev

Build High-Performing AI/ML Teams to Drive Real Business Impact with AI

Life Sciences

Lin Li

From Data to Drug Approval: Bioinformatics in Clinical Development

Lin Li Head of Clinical Statistics & Computational Biology PharmaLex, a Cencora company

Watch Now
Deepak Bandyopadhyay

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

Home
Watch Demo
Watch Demo

Richa Sachdev Executive Director, AI/ML and Data Products, JPMorgan Chase

Watch now
Kris Skrinak

Scaling AI That Sticks: Platform Thinking in Financial Services

Kris Skrinak AI & Cloud Solutions Architect, Capital Markets & Financial Services AWS

Watch now
Sam Mylinarski

Model Risk Management in the Age of AI: Balancing Innovation, Ethics, and Compliance

Sam Mylinarski Director, Model Risk Program, Federal Reserve Bank of NY

Watch now
Ahmet Gyger

Applied AI Governance: Turning Compliance into a Catalyst for Productivity

Ahmet Gyger Senior Director of Product Management, Domino

Watch now
Jarrod Vawdrey

Mastering MLOps for Scalable and Cost-Effective AI

Jarrod Vawdrey Field Chief Data Scientist, Domino

Watch now

The GenAI Journey at BNP Paribas Fortis: Addressing the hype and delivering high value use cases

Manuel Piette, Chief Data Scientist, Tribe AI, BNP Paribas Fortis

Watch now

Modernization in a conservative industry

Klaus Rieger, Head of DataLab and Governance, Baloise

Watch now

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

Watch now
Richard Swakia, Jarrod Vawdry, James Yi

Tame AI Sprawl to Accelerate Innovation in Life Sciences

James Yi Sr. Partner Solutions Architect / Generative AI Tech Lead, AWS Emerging Technologies ISV

Richard Swakla AI/ML Specialist, NetApp

Jarrod Vawdrey Field Chief Data Scientist, Domino

Watch now
James Black

Unifying Data Science: A Single SCE for Innovation and Compliance

James Black Executive Director, Technology & Scientific Computing, Novartis

Watch now
Ronen Artzi

Accelerating Biomarker Discovery with Multi-Agent AI

Ronen Artzi Technology Innovation Lead, Oncology Data Science & AI, AstraZeneca

Watch now

Accelerating Scientific Discovery with FAIR Principles & Agentic AI

Naveed Shaikh, Sr. Dir., R&D Strategy & Enterprise Architecture, AstraZeneca

Watch now

Overcoming AI & Data Governance Challenges in Pharma

James Meeney, Head of Data Strategy & Governance, PharmaLex, a Cencora company

Watch Now

Modernizing Data Science Workflows: Lessons from GSK's GitHub Journey

Eleanor Sparling, Principal Data Scientist, GSK

Watch now
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