Rev 2026 takes place in three major cities:
Each event runs from 8:00 AM to 5:30 PM and includes keynote sessions, industry panels, breakout sessions, and networking opportunities throughout the day.
No. Rev 2026 events are exclusively in-person to maximize networking and face-to-face interaction. However, session recordings are typically made available to registered attendees after the event where possible.
Yes. Rev events are completely free with no registration fee. However, seating is limited and priority is given to data science, AI and IT leaders. We recommend registering early at rev.domino.ai/register to secure your spot.
Visit rev.domino.ai/register, select your preferred city, and complete the registration form. You'll receive a confirmation email with event details within 24 hours.
Yes, you're welcome to register for multiple cities. Each location offers unique perspectives and networking opportunities with different industry leaders and peers.
Yes, colleagues are welcome to attend! However, registrations are not transferable. Since Rev 2026 is free, we ask that each colleague register individually at rev.domino.ai to save their seat.
Upon arrival, all attendees will check in at the registration desk to receive their personalized event badge.
Rev is built for data science, AI, and IT leaders responsible for enterprise-wide AI initiatives. Ideal attendees include:
No. Rev 2026 welcomes AI leaders from all organizations, regardless of whether they use Domino's platform.
The main sessions focus on business outcomes, industry best practices, and strategic implementation—drawing insights from how leading organizations are driving AI impact at scale. You'll learn from peer experiences across industries, not just product features.
If you're not familiar with Domino, you'll have the opportunity to discover the platform through dedicated demo spaces staffed by Domino experts. They can introduce you to the platform, walk through relevant use cases, and demonstrate key features tailored to your interests.
Rev is designed for leadership and strategic roles rather than hands-on practitioners. The content focuses on organizational transformation, business value, governance frameworks, and MLOps infrastructure rather than coding tutorials or technical workshops.
Absolutely. Life sciences organizations face unique regulatory and compliance requirements when scaling AI initiatives, and Rev 2026 addresses these challenges head-on.
The Philadelphia and London events both include dedicated life sciences content and feature speakers from leading pharmaceutical and biotech organizations such as GSK, AstraZeneca, Johnson & Johnson, Novartis, and Baloise. You'll learn how peers are modernizing analytics capabilities, accelerating R&D timelines, and implementing AI within validated, governed frameworks—all while maintaining inspection readiness.
These events also bring together leaders from financial services, technology, and other regulated industries. Many attendees find that cross-industry perspectives on governance, risk management, and scaling strategies provide fresh approaches to common challenges.
Absolutely. Financial services organizations face unique challenges when scaling AI—from extended model validation cycles to evolving regulatory requirements and intensifying oversight. Rev 2026 addresses these strategic priorities head-on.
The New York City and London events both include dedicated financial services content and feature leaders from banks, insurers, and asset managers such as USAA, JPMorgan Chase, FRBNY, BNP Paribas Fortis, BNP Paribas Cardif, Fidelity. You'll learn how peers are modernizing model risk management, accelerating time-to-market, and building AI systems that satisfy both business demands and regulatory expectations—from credit risk and fraud detection to customer analytics and portfolio management.
These events also bring together leaders from life sciences, technology, and other regulated industries. Many attendees find that cross-industry perspectives on governance, validation efficiency, and operational risk provide fresh approaches to common challenges.
Absolutely. Public sector organizations are increasingly exploring how AI can improve mission outcomes, enhance decision-making, and deliver better services to citizens. At the same time, they face unique challenges when scaling these capabilities—from strict security and compliance requirements to the need for transparency, accountability, and responsible use of data. Rev 2026 addresses these priorities directly.
The New York City and Philadelphia events bring together leaders from government agencies and regulated industries who are advancing AI to improve mission outcomes. You'll learn how peers are modernizing data science capabilities, accelerating the deployment of AI-powered services, and implementing models within secure, governed environments that meet evolving policy and oversight requirements.
There is also meaningful overlap with federal agencies focused on adjacent missions. For example, federal health agencies interested in life sciences, research, and biotechnology may find the Rev Philadelphia sessions especially relevant, while federal financial regulators and oversight bodies may benefit from the model risk management and governance discussions featured in Rev New York.
These events also bring together leaders from financial services, life sciences, technology, and other regulated industries. Many attendees find that cross-industry perspectives on governance, risk management, and scaling AI provide valuable insights for addressing common public sector challenges.
Rev 2026 is Domino Data Lab's premier event series for enterprise AI, Data Science and IT leaders. This year's theme, "Lead with Impact," addresses how organizations can move beyond isolated AI pilots to build governed, reliable, and scalable systems that drive measurable business results.
The event is structured around four strategic pillars for driving AI impact:
Impact-Ready Systems – Creating governed, flexible environments where innovation is production-ready
Repeatable Processes – Transforming one-off experiments into reliable, scalable workflows
Trust at Scale – Ensuring accountability through clear oversight, lineage, and traceability
Disciplined Expansion – Growing AI capabilities across business units while managing cost, performance, and compliance
Rev features AI leaders from Fortune 500 companies. Past speakers have represented organizations including:
Yes. Each Rev event is specifically designed to facilitate meaningful professional connections through:
Rev 2026 runs from 8:00 AM to 5:30 PM. The day features keynote presentations, industry thought leadership, and multiple breakout sessions across the four strategic pillars: Impact-Ready Systems, Repeatable Processes, Trust at Scale, and Disciplined Expansion.
Networking opportunities are built throughout the day, starting with breakfast, followed by a midday lunch, afternoon break, and concluding with an evening reception. Sessions are designed to balance strategic insights from industry leaders with meaningful time to connect with peers facing similar challenges.
Rev 2026 sessions address strategic and operational challenges in enterprise AI, including:
No. Rev focuses on strategic leadership, organizational transformation, and business value rather than hands-on technical training or coding workshops. If you're seeking technical practitioner content, consider Domino's training programs or community events.
Session recordings are typically made available to registered attendees after the event where possible. You'll receive access information via email after the event.
While presentation slides are not distributed, we make video recordings available for sessions that can be shared publicly. Registered attendees will receive access to these recordings after the event, allowing you to revisit key insights or catch sessions you may have missed.
You can see examples of past session recordings at domino.ai/revx/videos. Please note that not all sessions may be available due to speaker preferences or content considerations.
We recommend bringing:
Yes. Rev 2026 includes breakfast, lunch, and light refreshments throughout the day, plus appetizers and beverages at the evening reception.
Meals are served buffet-style with a variety of options to accommodate common dietary needs, including vegetarian, and gluten-free choices. While we make every effort to provide inclusive selections, we cannot guarantee accommodation for all dietary restrictions.
Business casual attire is recommended. Most attendees wear professional but comfortable clothing suitable for a full day of sessions and networking.
Yes. All attendees receive access to a mobile app with the event agenda, speaker bios, and networking features. Download instructions are sent after registration.
Rev showcases how leading organizations use Domino's Enterprise MLOps platform to become "model-driven businesses." While the event highlights Domino's capabilities in accelerating scientific work and strengthening risk management, it primarily focuses on broader industry best practices and strategic implementation that apply across platforms.
A model-driven business uses AI and data science models to power critical decisions and operations at scale. These organizations deploy AI across their operations to accelerate innovation, manage risk, and drive measurable results—transforming AI from experimental projects into core business capabilities.
MLOps (Machine Learning Operations) is the practice of deploying, monitoring, and managing machine learning models in production environments. It combines machine learning, DevOps, and data engineering to create reliable, scalable AI systems that deliver consistent business value.
Rev 2026 focuses specifically on enterprise AI leaders facing the challenges of scaling from pilots to production. Unlike broader technical conferences, Rev emphasizes:
To learn more about Domino’s Enterprise AI Platform, visit domino.ai. You can explore product information, customer case studies, resources, and watch a demo to see the platform in action.
