Rev 2026 | Enterprise AI and MLOps conference

Q: What will be the takeaways of Rev 2026?

Key takeaways include building impact-ready systems, turning experiments into repeatable workflows, ensuring trust through clear oversight and traceability, and scaling AI across business units while managing cost, performance, and compliance.

Q: Can I attend multiple Rev events?

Yes. Many attendees choose to participate in multiple cities to deepen their network and refine their approaches across different industry perspectives.

ABOUT

Rev brings together data science, AI, and IT leaders who are done experimenting and ready to scale.

This is where enterprise teams share how they've moved analytics and AI from isolated pilots to enterprise operations—building the systems, governance, and trust that turn innovation into measurable business impact.

TESTIMONIALS

“The networking was incredibly valuable. I connected with fellow innovators, potential partners, and thought leaders who share a vision for AI that delivers measurable impact.”

“Every session was engaging and impressively to the point. It’s the best forum for learning how to turn AI innovation into a lasting advantage."

“The agenda was strong, with interesting speakers and topics, a great atmosphere, an excellent location, and friendly staff throughout the event.”

"Brilliant insights from every speaker, with conversations that didn't stop between sessions—the networking was as valuable as the content."

“The diversity and relevance of the sessions were outstanding. The presentations were extremely insightful, engaging, and among the best I’ve seen recently. I can’t wait for the next one.”

What to expect

One day. Practical insights. Real impact.

Visionary talks

Leaders from the world's most demanding organizations are turning AI innovation into an operational advantage—building systems that accelerate work, strengthen decisions, and scale with confidence across teams and business units.

Demos

Live demos and deep dives into the technical foundations and cultural changes required to build governed, flexible environments where analytics and AI work moves reliably from development to production.

Networking

Intentional space to connect session insights with your operational realities—peer discussions on what it really takes to scale while managing cost, compliance, and organizational trust.

City agendas

Philadelphia

New York

London

2026 speakers

Jacob Albrecht

Director, Intelligence Systems Lab

Philadelphia

Ben Arancibia

Director of Data Science

Philadelphia

Himadri Banerjee

Product Owner, Data Science & Analytics

London

Justin Johnson

Executive Director, Oncology Data Science

Philadelphia

Uday K Reddy Kandula

Principal Scientist, Statistical Programming

Philadelphia

Kate Key

Director, Enterprise MRM & ML Governance

New York

Rohan Ramesh

VP, Data Science

New York

Thomas Reichert

Data Scientist

London

More speakers coming soon

FAQ

Who should attend Rev events?

Rev is built for data science, AI, and IT leaders driving enterprise AI initiatives. If you're responsible for scaling AI, establishing governance, or operationalizing analytics across your organization, this forum is for you. Business leaders overseeing AI transformation will also find immediate value.

What will be the takeaways of Rev 2026?

Impact-ready systems: How to build governed, flexible environments where innovation moves to production
Repeatable processes: Turning experiments into reliable, scalable workflows
Trust at scale: Ensuring accountability through clear oversight and traceability‍
Disciplined expansion: Growing AI capabilities across business units while managing cost, performance, and compliance

Is there a cost to attend Rev events?

Rev events are free to attend. Seating is limited, and priority is given to Data Scientists, AI and IT leaders. Registering early through rev.domino.ai/register to secure your spot.

Can I attend multiple Rev events?

Absolutely. Many attendees choose to participate in multiple cities to deepen their network and refine their approaches across different industry perspectives.

Have a different question?

If you have additional questions or need further assistance that isn't covered in our FAQ, we're here to help. Please reach out to us at rev@dominodatalab.com and our team will get back to you as soon as possible.