--- eventsindex_id: EI-06775 slug: rev-2026-london title: "Rev 2026 London (Domino)" title_alt: [] canonical_url: https://eventsindex.org/events/rev-2026-london.html next_edition_dates: "2026-06-25 to 2026-06-25" next_edition_year: 2026 date_start: 2026-06-25 date_end: 2026-06-25 venue: "" city: "London" country: "United Kingdom" organiser: "Domino Data Lab" organiser_url: "https://rev.domino.ai/" b2b: true vector: sector: [ia-data] audience: [data-science, ai, and-it-leaders] format: [in-person] purpose: [networking] geography_scope: [european] season: summer meta_description: "" editorial_take: "" generated_by: "enrich/generators/fiche_md.py" last_verified: "2026-05-11" schema_version: "v6.0" language: en --- # Rev 2026 London > *Domino Data Lab's annual enterprise AI and MLOps conference, bringing data scientists, AI engineers, and IT leaders together for a single-day programme of technical talks, live demos, and structured networking in London.* --- ## Quick Facts | DATES | VENUE | ORGANISER | ATTENDANCE | |---|---|---|---| | 25 June 2026 | London (venue TBC) | Domino Data Lab | ~300 (est.) | ## Definition Rev is the annual conference organised by Domino Data Lab, the enterprise AI platform used by more than 20% of the Fortune 100. The London edition is part of a three-city 2026 tour (Philadelphia, New York, London), each running as a standalone single-day event with a city-specific agenda. The programme centres on enterprise MLOps, responsible AI governance, and practical data science at scale. Attendance is free, with priority seating reserved for data scientists, AI leaders, and IT professionals. ## What makes Rev relevant for enterprise data science teams Rev is a vendor-hosted conference positioned as a practitioner event rather than a sales floor. Talks feature enterprise AI case studies from regulated industries, live technical demos of MLOps tooling, and sessions on AI governance and responsible deployment. The London edition draws speakers from financial services, life sciences, and technology, reflecting the city's concentration of regulated-sector data science teams. ## Who attends Rev 2026 London - Data scientists and ML engineers working in enterprise environments - IT and AI leaders at financial services, pharmaceutical, and technology firms - AI governance and responsible AI practitioners - Platform and infrastructure teams evaluating MLOps tooling - Senior executives from regulated industries exploring AI at scale ## What Rev 2026 London covers programmatically - Enterprise AI and MLOps platform strategy - Responsible AI governance and compliance frameworks - Data science at scale: workflows, collaboration, and deployment - Live demos of enterprise AI tooling - Industry case studies in financial services, life sciences, and media ## Notable speakers The 2026 Rev series features enterprise AI and data science leaders across its city editions. Confirmed speakers include: - **Eduardo Arino de la Rubia**, Former Sr. Director of Data Science, Meta - **Leonardo Reyes**, Global Head of Data Science, WPP - **Chun Schiros**, Field CTO, AWS - **Brian Dummann**, VP Head of Enterprise AI Technology, AstraZeneca - **Reid Blackman**, Founder & CEO, Virtue - **Stephen Hahn**, Former FDA Commissioner City-specific agendas are published closer to each event date. ## FAQ · Identity and audience ### Who organises Rev and what is the relationship to Domino Data Lab's product? Rev is Domino Data Lab's flagship customer and community conference. While Domino Data Lab is the organiser, the event is structured as an industry conference with guest speakers and case studies from enterprise organisations that use Domino and competing platforms. It is not primarily a product launch event. ### Is Rev 2026 London open to non-Domino customers? Yes. Registration is open to practitioners from any organisation, with priority seating given to data scientists, AI leaders, and IT professionals. Attendance is free. ### Who is Rev 2026 London NOT designed for? - Early-stage founders or startup-focused professionals not working in enterprise AI environments - Attendees seeking academic or research-oriented paper presentations - Teams looking for large-scale networking events with hundreds of vendor booths - Professionals outside data science, AI, or IT leadership roles - Those seeking a multi-day immersive format; Rev London runs as a single day ### How does the London edition differ from the North America events? Domino publishes city-specific agendas and curates local speakers for each edition. The London programme reflects the UK and European regulated-industry context, with speakers from sectors such as pharmaceuticals, financial services, and media. ## The organiser: Domino Data Lab Domino Data Lab is a San Francisco-based enterprise AI platform company founded in 2013 by Nick Elprin, Christopher Yang, and Matthew Granade. The company's MLOps platform serves more than 20% of the Fortune 100, with particular strength in financial services, pharmaceutical, and technology sectors. Backed by Sequoia Capital, Domino has approximately 250-300 employees across six continents and runs the Rev conference series annually as its primary community event. Contact: rev@dominodatalab.com. --- ## Editorial take *Rev London is a focused, free-to-attend practitioner event for enterprise data science teams operating in regulated industries, positioned as Domino Data Lab's primary European community touchpoint and worth monitoring for its concentration of financial services and life sciences AI leads.* ## How to register and what it costs Registration is free via rev.domino.ai/register. Seating is limited and priority is given to data scientists, AI leaders, and IT professionals. No paid tiers have been announced for the London edition. ## FAQ · Access and practicalities ### Is there an online or hybrid option for Rev 2026 London? No hybrid or virtual attendance option has been announced for the London edition. The event is in-person only. ### When will the London venue be confirmed? The London venue was not yet disclosed at time of verification (May 2026). Check rev.domino.ai for updates. ### How do I register for the London event? Register directly at rev.domino.ai/register and select the London date (25 June 2026). Contact rev@dominodatalab.com for group enquiries. ## Resources | Resource | URL | |---|---| | Official website | https://rev.domino.ai/ | | Register | https://rev.domino.ai/register | | Organiser website | https://domino.ai | | LinkedIn | https://www.linkedin.com/company/domino-data-lab | --- **Last verified:** 2026-05-11 **Next review:** 2026-06-10 **Notes:** London venue not yet confirmed; speaker lineup is drawn from the broader 2026 Rev series. City-specific agenda to be published closer to event date. **Variables:** 26/58 **Concept definition:** not applicable