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January 27, 2027 | Virtual

Join the Conversation Shaping Data, Analytics & AI Leadership

D&A Live Winter

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15+
speakers

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500+
attendees

Where Data & AI Leaders Turn Strategy into Action

Join us on January 27 for a virtual experience bringing together data, analytics, and AI professionals for a day of practical insight, shared experiences, and honest conversations about what’s working, and what isn’t.

D&A Live is a peer-led event designed to move beyond the hype and into the realities of building effective data and AI strategies. From getting more value from data and scaling AI initiatives to navigating governance, talent, and organizational change, the focus is on the challenges leaders are facing today.

Across sessions led by experienced voices from across the industry, attendees will hear real-world perspectives, lessons learned, and practical approaches they can take back to their teams and apply immediately.

One day. One community. Real-world data, analytics & AI leadership.

January 27 | Virtual Event

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Our key themes for 2026

AI Strategy & Adoption 

Moving from AI experimentation to scalable, business-focused use cases. Explore how leaders are prioritizing investments, proving value, and building the foundations needed to scale AI responsibly. 

Data Strategy & Governance

Building a data strategy that supports both day-to-day decision-making and emerging AI initiatives. Discuss governance, data quality, ownership, and how organizations are creating trusted, accessible data environments. 

From Insights to Business Impact

Turning data and analytics into decisions that actually move the business forward. Hear how teams are connecting analytics to business priorities, measuring value, and getting stakeholders to act on insights.

The Future of Data & AI Leadership

Exploring how the role of data and AI leaders is evolving as technology, teams, and expectations change. Cover organizational transformation, talent, operating models, and the leadership challenges that come with scaling data and AI.

PAST SPEAKERS

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NEW THIS YEAR

Receive access to cross-industry learnings & collaboration

Solve shared problems with like-minded attendees during discussions with speakers

Connect with attendees and build new collaborations through our interactive sessions

Hear from expert speakers to discover the latest advancements and trends in Data & Analytics

WHAT PEOPLE SAY ABOUT THE EVENT

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Why Attend?

D&A Live is built for data, analytics, and AI professionals who want more than surface-level updates. It’s a peer-led experience focused on real conversations about the challenges shaping data and AI leadership today.

You’ll gain practical insights into how real-world decisions are being made across data strategy, AI adoption, governance, and business transformation, along with honest perspectives on what’s working, what isn’t, and how teams are adapting as expectations around data and AI continue to evolve.

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Who Will be There?

D&A Live brings together a broad mix of data, analytics, and AI professionals from across industries and stages of their data and AI journey. The audience includes Chief Data Officers, Chief AI Officers, and senior data and technology leaders responsible for shaping strategy and driving transformation, alongside analytics, data, and AI practitioners focused on turning strategy into action.

Expect an engaged, interactive environment where participants come prepared to share experiences, ask questions, and contribute to open discussions throughout the event.

Past Sponsors

Partner with D&A Live to connect, inspire, and engage with top Data, Analytics and AI Leaders.

Media Partners

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How can we help?

We carefully craft our events from scratch, tailoring them to support your business needs and facilitate industry growth. Our team oversees the whole process from research to post-production and are happy to answer any questions you have. We look forward to seeing you at the event!

Kathleen Vitug

Conference Producer

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Register for FREE to join us at D&A Live

Join your peers online and see what's next in Data

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