RevX Frequently Asked Questions
- General Information
- Registration and Attendance
- Content and Value
- Speakers and Networking
- Domino Data Lab and Enterprise AI
General Information
What is RevX?
RevX is Domino Data Lab's premier customer event series focused on data science, machine learning, and AI innovation. These events bring together enterprise AI/ML leaders, practitioners, and innovators to share insights, best practices, and real-world implementation stories that help organizations accelerate their journey to becoming model-driven businesses.
Who organizes RevX?
RevX is organized by Domino Data Lab, the leading Enterprise MLOps platform trusted by over 20% of the Fortune 100 companies. Domino Data Lab powers model-driven businesses with its comprehensive data science platform that enables faster development and deployment of data science work.
Who should attend RevX events?
RevX events are specifically designed for data science leaders and IT executives who are driving AI/ML initiatives within their organizations. The ideal attendees are professionals with existing experience in enterprise machine learning who are responsible for strategic decision-making around AI implementation, scaling, and governance. While priority seating is given to data scientists and IT leaders, business executives who oversee data science teams or AI transformation efforts will also find significant value in the content and discussions.
Are RevX events in-person or virtual?
RevX events are exclusively in-person, providing a valuable face-to-face experience for all attendees. However, we understand that not everyone can attend in person, so we make recordings of sessions available after the events where possible for registered attendees. This approach ensures that the content remains accessible while maintaining the high-quality networking and interactive benefits of in-person attendance.
Registration and Attendance
How do I register for RevX events?
Registration for upcoming RevX events can be completed through the official Domino Data Lab website at domino.ai/revx. Simply select the event you're interested in and follow the registration process.
Is there a cost to attend RevX events?
RevX events are free to attend. However, please note that seating is limited, and priority will be given to Data Scientists and IT leaders. We recommend registering early through domino.ai/revx to secure your spot at these exclusive events.
Can I attend multiple RevX events?
Absolutely! Many participants find value in attending multiple RevX events to gain a comprehensive understanding of enterprise AI/ML practices and to build stronger connections within the community. Check the event schedule at domino.ai/revx for upcoming events.
Do I need technical knowledge to benefit from RevX?
RevX is specifically designed for leadership roles rather than practitioners. The events focus on strategic aspects of AI/ML implementation, organizational transformation, and business value rather than hands-on technical details. While our team will be available to demonstrate the Domino Data Lab platform, RevX is not a training event for existing users. The content is curated for data science leaders, IT executives, and business decision-makers who are driving AI initiatives within their organizations.
Content and Value
What topics are covered at RevX events?
RevX covers a wide range of enterprise AI/ML topics, including:
- Model development and deployment best practices
- Responsible AI implementation and governance
- MLOps and AI infrastructure optimization
- Data science productivity and collaboration
- Industry-specific AI applications and case studies
- Enterprise AI transformation strategies
- Machine learning governance frameworks
- Scaling data science initiatives
Will there be hands-on sessions or workshops?
No, RevX does not include hands-on sessions or workshops as it is designed for leadership roles rather than practitioners. The events consist primarily of presentations and panel discussions, with many sessions offering Q&A opportunities where attendees can engage with speakers. While our team will be available to demonstrate the Domino Data Lab platform, these are showcase demonstrations rather than interactive workshops.
What are the benefits of attending RevX?
Attending RevX events provides numerous benefits:
- Network with industry leaders and peers facing similar challenges
- Learn from real-world implementation stories and case studies
- Discover the latest trends and innovations in enterprise AI/ML
- Gain insights to accelerate your organization's AI transformation
- Discover strategies to improve data science productivity
Will presentations be available after the event?
Many RevX session recordings and presentation materials are made available to registered attendees after the events. The specific availability of materials varies by event, so check the event details for more information or contact the RevX team.
Speakers and Networking
Who typically speaks at RevX events?
RevX features presentations from a diverse range of speakers, including:
- Data science and AI leaders from Fortune 500 companies
- Domino Data Lab executives and experts
- Industry analysts and thought leaders
- Academic researchers pushing the boundaries of AI/ML
- Practitioners with hands-on implementation experience
Which companies have presented at past RevX events?
RevX has featured speakers from leading organizations across various industries that are at the forefront of enterprise AI implementation. Past events have included presentations from companies such as Moody's, Cybersyn, NetApp, NTT Data, Bridgewater, NVIDIA, EY, Accenture, The New York Times, Fidelity Investments, FINRA, BNP Paribas CARDIF, Direct Line Group (DLG), VMware by Broadcom, AWS, GSK, Court Square Group (CSG), AstraZeneca, Moderna, Biolizard, BNP Paribas, WPP, JPMorgan, Novartis, UBS, JnJ, USAA, Cencora, Baloise, Goldman Sachs. These organizations share their real-world experiences, challenges, and successes in leveraging data science and machine learning to drive business value. For videos from past speakers, visit domino.ai/revx/videos.
Are there networking opportunities at RevX?
Yes! RevX events are designed to facilitate meaningful connections. In-person events include dedicated networking lunch and reception.
Can I propose a speaking session for RevX?
Domino Data Lab welcomes speaking proposals from customers and industry experts for RevX events. If you have an interesting case study, implementation story, or industry insight to share, please contact the RevX team through the Domino Data Lab website.
Domino Data Lab and Enterprise AI
What is Domino Data Lab?
Domino Data Lab powers model-driven businesses with its leading Enterprise MLOps platform trusted by over 20% of the Fortune 100. The Domino platform accelerates the development and deployment of data science work while increasing collaboration and governance, helping organizations realize the full potential of their AI investments.
What is a "model-driven business"?
A model-driven business is an organization that leverages data science, machine learning, and AI as core competitive advantages. These companies systematically develop and deploy models that drive decision-making, optimize operations, enhance customer experiences, and create new products or services—ultimately transforming how they operate and compete in the market.
How does RevX relate to Domino Data Lab's offerings?
RevX events showcase how organizations are using Domino Data Lab's Enterprise MLOps platform to become model-driven businesses. While attendees will learn about Domino's capabilities, RevX focuses on broader industry trends, best practices, and practical implementation strategies that deliver value regardless of the specific tools used.
I'm new to enterprise AI/ML. Will RevX be valuable for me?
RevX events are primarily designed for experienced data scientists, IT leaders, and professionals who already have experience with machine learning in enterprise settings. The content assumes a certain level of familiarity with AI/ML concepts and organizational implementation challenges. If you're completely new to the field, you may not receive the full value of the event. RevX is most beneficial for those who are already engaged in enterprise AI initiatives and looking to enhance their strategic approach.
Where can I learn more about Domino Data Lab?
To learn more about Domino Data Lab and its Enterprise MLOps platform, visit domino.ai. You can explore product information, customer case studies, resources, and request a demo to see the platform in action.
For additional questions about RevX or Domino Data Lab, please contact us through the Domino Data Lab website or email revx@dominodatalab.com.
For additional questions about RevX or Domino Data Lab, please contact us or email revx@dominodatalab.com.