# Rev 2026 > Enterprise AI & MLOps Conference Series by Domino Data Lab > Last Updated: March 2026 > URL: https://rev.domino.ai 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 move beyond isolated AI pilots to build governed, reliable, and scalable systems that drive measurable business results. Rev brings together practitioners and executives who are done experimenting and ready to scale. ## Conference Dates & Locations Rev 2026 takes place across three cities: - **Philadelphia, PA** — May 12, 2026 | Two Commerce Square, 2001 Market St, 41st Floor - **New York City, NY** — May 19, 2026 | Convene, 555 Broadway (SoHo) - **London, UK** — June 25, 2026 | etc. County Hall, Belvedere Rd, Southbank Each event runs 8:00 AM – 5:30 PM and includes keynote sessions, industry panels, breakout tracks, networking lunch, and an evening reception. All events are in-person only. Session recordings are typically made available to registered attendees after the event. ## Event Pages - Philadelphia: https://rev.domino.ai/philadelphia - New York: https://rev.domino.ai/new-york - London: https://rev.domino.ai/london - FAQ: https://rev.domino.ai/faq ## Registration Rev 2026 is completely free to attend. Seating is limited and priority is given to data science, AI, and IT leaders. Early registration is recommended. - Register: https://rev.domino.ai/register - Each attendee must register individually. Registrations are not transferable. - Multiple cities: Attendees are welcome to register for more than one event. ## Target Audience Rev is designed for senior leaders and decision-makers responsible for enterprise AI initiatives, including: - Chief Data Officers and Chief AI Officers - VP/Directors of Data Science, Analytics, or Machine Learning - MLOps and AI Platform leaders - IT executives implementing AI infrastructure - Data Science managers scaling team capabilities Rev is open to all organizations — not limited to Domino Data Lab customers. Business leaders overseeing AI transformation will also find immediate value. ## Key Themes & Topics Rev 2026 is structured around four strategic pillars: 1. **Impact-Ready Systems** — Governed, flexible environments where innovation is production-ready 2. **Repeatable Processes** — Transforming one-off experiments into reliable, scalable workflows 3. **Trust at Scale** — Accountability through clear oversight, lineage, and traceability 4. **Disciplined Expansion** — Growing AI capabilities across business units while managing cost, performance, and compliance Session topics include: - Moving AI from pilot to production at scale - MLOps and model deployment in regulated environments - Model risk management (MRM) and governance frameworks - Agentic AI and human-in-the-loop design - Statistical computing environments (life sciences focus) - Fraud detection, credit risk, and portfolio management (financial services focus) - AI ROI definition and measurement - Domino Apps: turning AI models into enterprise decisions - Extending AI into Excel and existing enterprise tooling ## City-Specific Focus Areas ### Philadelphia (May 12, 2026) — Life Sciences Philadelphia is one of the most concentrated life sciences ecosystems in the world. Rev PHL brings together AI, data science, and IT leaders pioneering the next wave of biotech and pharmaceutical innovation. Sessions focus on regulated AI in clinical and commercial workflows, statistical computing environments (SCE), and FDA-aligned governance. Key topics: AI in drug discovery, multi-agent pipelines for biomarker identification, modernizing SCEs, agentic AI in pharma, clinical data science operations. Featured speakers include representatives from Bristol Myers Squibb, AstraZeneca, Merck, UCB, and others. Venue: Two Commerce Square, 2001 Market St, 41st Floor, Philadelphia, PA 19103. Walking distance from Suburban Station. Parking available on site. ### New York City (May 19, 2026) — Financial Services, Media & Technology New York is home to the largest enterprise brands in the world. Rev NYC brings together data science and IT leaders in financial services, media and entertainment, technology, and the public sector. Sessions focus on regulated AI deployment, model governance, and AI ROI. Key topics: Model governance for financial sector standards, MRM in the GenAI landscape, fraud detection, benchmarking at scale in mortgage lending, AI applications in regulated enterprises, agentic engineering. Featured speakers include Rohan Ramesh (VP Data Science, Vevo), Kate Key (Director Enterprise MRM & ML Governance, Capital One), and others. Venue: Convene, 555 Broadway, New York, NY (heart of SoHo). ### London (June 25, 2026) — Financial Services, Life Sciences & Regulated Sectors London brings together data science and IT leaders from financial services, life sciences, and media and entertainment across Europe. Sessions address international AI governance, cross-sector regulated deployments, and enterprise AI infrastructure. Key topics: EU AI Act and global regulatory compliance, enterprise AI infrastructure, statistical computing environments, AI in production (what works and what doesn't), model risk transformation at global banks, agentic engineering. Featured speakers include Thomas Reichert (Data Scientist, Helvetia) and others. Venue: etc. County Hall, Belvedere Rd., London (heart of Southbank). ## What to Expect - **Visionary talks** — Leaders from world's most demanding organizations share how they are turning AI innovation into operational advantage - **Masterclasses** — Deep dives into technical foundations and cultural changes required to build governed, flexible AI environments (pre-registration required; limited to 30 attendees each) - **Networking** — Intentional space to connect with peers on operational realities, cost, compliance, and organizational trust - **Domino demos** — Live product demonstrations and deep dives into the latest Domino capabilities Food and beverages are provided throughout the day: breakfast, lunch, afternoon refreshments, and an evening networking reception. ## 2026 Confirmed Speakers (partial) - **Jacob Albrecht** — Director, Intelligence Systems Lab, Bristol Myers Squibb (Philadelphia) - **Justin Johnson** — Executive Director, Oncology Data Science, AstraZeneca (Philadelphia) - **Uday K Reddy Kandula** — Principal Scientist, Statistical Programming, Merck (Philadelphia) - **Kate Key** — Director, Enterprise MRM & ML Governance, Capital One (New York) - **Rohan Ramesh** — VP, Data Science, Vevo (New York) - **Thomas Reichert** — Data Scientist, Helvetia (London) - **Tim Williams** — Statistical Solutions Lead, UCB (Philadelphia) More speakers to be announced. ## Past Event Highlights (2025) Rev 2025 featured: - 31 guest speakers - 34 sessions - 3 cities 2025 attending companies included: USAA, GSK, BNP Paribas, Moderna, Johnson & Johnson, Novartis, NVIDIA, EY. Past session recordings are available at: https://domino.ai/revx/videos ## Frequently Asked Questions **Is Rev free to attend?** Yes. There is no registration fee. Seating is limited; early registration is recommended. **Is Rev only for Domino customers?** No. Rev welcomes AI leaders from all organizations regardless of whether they use Domino's platform. **Can I attend virtually?** No. Rev 2026 events are exclusively in-person. Session recordings are made available to registered attendees after the event where possible. **Can I attend multiple cities?** Yes. Each location offers unique content, perspectives, and networking opportunities. **Is Rev relevant for life sciences companies?** Yes. Philadelphia and London both include dedicated life sciences content with speakers from leading pharma and biotech organizations. **Is Rev relevant for financial services companies?** Yes. New York and London both include dedicated financial services content covering model risk management, fraud detection, and regulatory compliance. **Is Rev relevant for public sector organizations?** Yes. New York and Philadelphia bring together leaders from government agencies and regulated industries advancing AI to improve mission outcomes. **Does Rev include hands-on workshops?** No. Rev focuses on strategic leadership, organizational transformation, and business value. For technical practitioner content, see Domino's training programs. **What should I bring?** Business cards, a laptop or tablet (WiFi provided), questions for speakers and peers, and a charged mobile device for the event app. **Is there a mobile app?** Yes. All attendees receive access to a mobile app with the agenda, speaker bios, and networking features. Download instructions are sent after registration. ## About Domino Data Lab Rev is organized by Domino Data Lab, Inc., a leader in enterprise MLOps and AI platforms. Domino's platform enables organizations to become model-driven businesses — deploying AI across operations to accelerate innovation, manage risk, and drive measurable results. - Website: https://domino.ai - LinkedIn: https://www.linkedin.com/company/domino-data-lab - GitHub: https://github.com/dominodatalab - Past session videos: https://domino.ai/revx/videos ## Legal - Privacy Policy: https://domino.ai/legal/privacy-policy - Terms and Conditions: https://domino.ai/legal/terms - Security: https://domino.ai/security - Legal: https://domino.ai/legal © 2026 Domino Data Lab, Inc.